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Roy, MR Ajit Kumar

Published by Createspace Independent Pub (2015)

ISBN 10: 1515031888 ISBN 13: 9781515031888

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About this Item: Createspace Independent Pub, 2015. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781515031888

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MR Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2015)

ISBN 10: 1515031888 ISBN 13: 9781515031888

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About this Item: Createspace Independent Publishing Platform, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Big Data is a hot topic and getting a lot of media and business attention. Everyone is talking about big data, from the challenges to yearly spending, job creation and even the tools required for big data projects. Many believe big data will help businesses make better decisions. Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level due to the tremendous amount of data generated daily from fields such as business, research, and sciences. Big Data is everywhere and represents huge opportunities to those who can use it effectively. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Big data is a buzzword that is ambiguous and often misunderstood. But it also feels like it could be the next big thing. Advances in sensing technologies, the digitization of commerce and communications, and the advent and growth in social media are a few of the trends which have created the opportunity to use large scale, fine grained data to understand systems, behavior and commerce; while innovation in technology makes it viable economically to use that information to inform decisions and improve outcomes. Our world is bursting with information, yet we have a lack of data where we need it most: in and about the poorest and most marginalized communities.Therefore, the theme chosen for this year s World Statistics Day, Better Data for Better Lives. It is realized that high quality statistics are essential for designing and targeting policies to reduce hunger, malnutrition, and rural poverty, and to promote the sustainable use of natural resources for cost effective output. They provide the foundation for evidence-based decision-making for governments and the international community, and play a critical role in measuring and monitoring progress toward national and international development goals and targets. Big data is at the intersection of collecting, organizing, storing, and turning all of that raw data into truly meaningful information. Now the buzzword big data refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms.There are some things that are so big that they have implications for everyone s life, whether we want it or not. Big Data is one of those mega trends that will impact everyone in one way or another. This book entitled Surprising Mind Blowing Facts and Figures of Big Data presents some real-life up-to-date statistics right from evolution to present scenario of how big data is used today and how it is likely affect our lives in the days to come. It also covers forty definitions by thought leaders, tools.platforms, advantages and benefits. The book being first of its kind is expected to be very useful to wide audiences of students, professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas those who want to gain basic knowledge about Big Data. Seller Inventory # APC9781515031888

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MR Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2015)

ISBN 10: 1515031888 ISBN 13: 9781515031888

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About this Item: Createspace Independent Publishing Platform, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Big Data is a hot topic and getting a lot of media and business attention. Everyone is talking about big data, from the challenges to yearly spending, job creation and even the tools required for big data projects. Many believe big data will help businesses make better decisions. Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level due to the tremendous amount of data generated daily from fields such as business, research, and sciences. Big Data is everywhere and represents huge opportunities to those who can use it effectively. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Big data is a buzzword that is ambiguous and often misunderstood. But it also feels like it could be the next big thing. Advances in sensing technologies, the digitization of commerce and communications, and the advent and growth in social media are a few of the trends which have created the opportunity to use large scale, fine grained data to understand systems, behavior and commerce; while innovation in technology makes it viable economically to use that information to inform decisions and improve outcomes. Our world is bursting with information, yet we have a lack of data where we need it most: in and about the poorest and most marginalized communities.Therefore, the theme chosen for this year s World Statistics Day, Better Data for Better Lives. It is realized that high quality statistics are essential for designing and targeting policies to reduce hunger, malnutrition, and rural poverty, and to promote the sustainable use of natural resources for cost effective output. They provide the foundation for evidence-based decision-making for governments and the international community, and play a critical role in measuring and monitoring progress toward national and international development goals and targets. Big data is at the intersection of collecting, organizing, storing, and turning all of that raw data into truly meaningful information. Now the buzzword big data refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms.There are some things that are so big that they have implications for everyone s life, whether we want it or not. Big Data is one of those mega trends that will impact everyone in one way or another. This book entitled Surprising Mind Blowing Facts and Figures of Big Data presents some real-life up-to-date statistics right from evolution to present scenario of how big data is used today and how it is likely affect our lives in the days to come. It also covers forty definitions by thought leaders, tools.platforms, advantages and benefits. The book being first of its kind is expected to be very useful to wide audiences of students, professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas those who want to gain basic knowledge about Big Data. Seller Inventory # APC9781515031888

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Roy Ajit Kumar

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About this Item: Firma KLM Private Limited. Condition: New. pp. 575. Seller Inventory # 7842174

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Prof Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 153015071X ISBN 13: 9781530150717

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. The amount of data currently generated by the various activities of the society has never been so big, and is being generated in an ever increasing speed. This trend is being seen by industries as a way of obtaining advantage over their competitors if one business is able to make sense of the information contained in the data reasonably quicker, it will be able to get more costumers, increase the revenue per customer, optimise its operation, and reduce its costs. Big Data analytics is still a challenging and time demanding task that requires expensive software, large computational infrastructure, and effort. Data is the new basis of competitive advantage. Enterprises that use data and sophisticated analytics turn insight into innovation, creating efficient new business processes, informing strategic decision making and outpacing their peers on a variety of fronts. Successful data scientists come from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Experience of applying the scientific method to many disciplines and areas of research will prove fruitful in the field of data science. This book is a very basic introduction to data science. It is designed particularly for the beginners having the aptitude to learn and pursue careers in the emerging Data Science. The main emphasis of this book to help students think about the world in data science terms and learn taking advantage of free online web resources. While some elementary data science skills will be appraised, the emphasis is on skill development through self learning. Because skills are a must for data science. Data science, as practiced today, arises out of the big data/cloud computing world and complexity science. This means data science is an advanced discipline, requiring proficiency in parallel processing, map-reduce, computing, petabyte-sized noSQL databases, machine learning, advanced statistics and complexity science. I believe that data science is as much about mindset as it is about the skillful use of tools. Thus I want the students early in their careers to start thinking holistically about data science and related tools and techniques. There are many concepts and skills that a practical data scientist needs to know besides the fundamental principles of data science. These skills and concepts will be discussed in order to take advantage of free online data Science tutotials, courses, bootcamps, videos, blogposts, podcasts etc. This book Self Learning of Data Science for Free is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career. Seller Inventory # APC9781530150717

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Roy, Prof Ajit Kumar

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 153015071X ISBN 13: 9781530150717

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About this Item: Createspace Independent Publishing Platform, 2016. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781530150717

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Prof Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 153015071X ISBN 13: 9781530150717

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.The amount of data currently generated by the various activities of the society has never been so big, and is being generated in an ever increasing speed. This trend is being seen by industries as a way of obtaining advantage over their competitors if one business is able to make sense of the information contained in the data reasonably quicker, it will be able to get more costumers, increase the revenue per customer, optimise its operation, and reduce its costs. Big Data analytics is still a challenging and time demanding task that requires expensive software, large computational infrastructure, and effort. Data is the new basis of competitive advantage. Enterprises that use data and sophisticated analytics turn insight into innovation, creating efficient new business processes, informing strategic decision making and outpacing their peers on a variety of fronts. Successful data scientists come from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Experience of applying the scientific method to many disciplines and areas of research will prove fruitful in the field of data science. This book is a very basic introduction to data science. It is designed particularly for the beginners having the aptitude to learn and pursue careers in the emerging Data Science. The main emphasis of this book to help students think about the world in data science terms and learn taking advantage of free online web resources. While some elementary data science skills will be appraised, the emphasis is on skill development through self learning. Because skills are a must for data science. Data science, as practiced today, arises out of the big data/cloud computing world and complexity science. This means data science is an advanced discipline, requiring proficiency in parallel processing, map-reduce, computing, petabyte-sized noSQL databases, machine learning, advanced statistics and complexity science. I believe that data science is as much about mindset as it is about the skillful use of tools. Thus I want the students early in their careers to start thinking holistically about data science and related tools and techniques. There are many concepts and skills that a practical data scientist needs to know besides the fundamental principles of data science. These skills and concepts will be discussed in order to take advantage of free online data Science tutotials, courses, bootcamps, videos, blogposts, podcasts etc. This book Self Learning of Data Science for Free is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career. Seller Inventory # APC9781530150717

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Mr Ajit Kumar Roy

Published by CreateSpace Independent Publishing Platform

ISBN 10: 1515031888 ISBN 13: 9781515031888

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About this Item: CreateSpace Independent Publishing Platform. Paperback. Condition: New. This item is printed on demand. 134 pages. Dimensions: 9.0in. x 6.0in. x 0.3in.Big Data is a hot topic and getting a lot of media and business attention. Everyone is talking about big data, from the challenges to yearly spending, job creation and even the tools required for big data projects. Many believe big data will help businesses make better decisions. Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level due to the tremendous amount of data generated daily from fields such as business, research, and sciences. Big Data is everywhere and represents huge opportunities to those who can use it effectively. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Big data is a buzzword that is ambiguous and often misunderstood. But it also feels like it could be the next big thing. Advances in sensing technologies, the digitization of commerce and communications, and the advent and growth in social media are a few of the trends which have created the opportunity to use large scale, fine grained data to understand systems, behavior and commerce; while innovation in technology makes it viable economically to use that information to inform decisions and improve outcomes. Our world is bursting with information, yet we have a lack of data where we need it most: in and about the poorest and most marginalized communities. Therefore, the theme chosen for this years World Statistics Day, Better Data for Better Lives. It is realized that high quality statistics are essential for designing and targeting policies to reduce hunger, malnutrition, and rural poverty, and to promote the sustainable use of natural resources for cost effective output. They provide the foundation for evidence-based decision-making for governments and the international community, and play a critical role in measuring and monitoring progress toward national and international development goals and targets. Big data is at the intersection of collecting, organizing, storing, and turning all of that raw data into truly meaningful information. Now the buzzword big data refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms. There are some things that are so big that they have implications for everyones life, whether we want it or not. Big Data is one of those mega trends that will impact everyone in one way or another. This book entitled Surprising Mind Blowing Facts and Figures of Big Data presents some real-life up-to-date statistics right from evolution to present scenario of how big data is used today and how it is likely affect our lives in the days to come. It also covers forty definitions by thought leaders, tools. platforms, advantages and benefits. The book being first of its kind is expected to be very useful to wide audiences of students, professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas those who want to gain basic knowledge about Big Data. This item ships from La Vergne,TN. Paperback. Seller Inventory # 9781515031888

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Roy, MR Ajit Kumar

Published by Createspace Independent Pub (2015)

ISBN 10: 1514370190 ISBN 13: 9781514370193

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About this Item: Createspace Independent Pub, 2015. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781514370193

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MR Ajit Kumar Roy

Published by Createspace, United States (2015)

ISBN 10: 1514370190 ISBN 13: 9781514370193

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About this Item: Createspace, United States, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. About the Book The book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology.With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for one s need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and Prokaryotic/Microbial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high secondary school, graduate post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data. Seller Inventory # APC9781514370193

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MR Ajit Kumar Roy

Published by Createspace, United States (2015)

ISBN 10: 1514370190 ISBN 13: 9781514370193

Softcover
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About this Item: Createspace, United States, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.About the Book The book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology.With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for one s need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and Prokaryotic/Microbial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high secondary school, graduate post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data. Seller Inventory # APC9781514370193

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Roy, MR Ajit Kumar

Published by Createspace Independent Pub (2015)

ISBN 10: 1515031888 ISBN 13: 9781515031888

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About this Item: Createspace Independent Pub, 2015. PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781515031888

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Prof Ajit Kumar Roy

Published by CreateSpace Independent Publishing Platform

ISBN 10: 153015071X ISBN 13: 9781530150717

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About this Item: CreateSpace Independent Publishing Platform. Paperback. Condition: New. This item is printed on demand. 106 pages. Dimensions: 9.0in. x 6.0in. x 0.2in.The amount of data currently generated by the various activities of the society has never been so big, and is being generated in an ever increasing speed. This trend is being seen by industries as a way of obtaining advantage over their competitors if one business is able to make sense of the information contained in the data reasonably quicker, it will be able to get more costumers, increase the revenue per customer, optimise its operation, and reduce its costs. Big Data analytics is still a challenging and time demanding task that requires expensive software, large computational infrastructure, and effort. Data is the new basis of competitive advantage. Enterprises that use data and sophisticated analytics turn insight into innovation, creating efficient new business processes, informing strategic decision making and outpacing their peers on a variety of fronts. Successful data scientists come from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Experience of applying the scientific method to many disciplines and areas of research will prove fruitful in the field of data science. This book is a very basic introduction to data science. It is designed particularly for the beginners having the aptitude to learn and pursue careers in the emerging Data Science. The main emphasis of this book to help students think about the world in data science terms and learn taking advantage of free online web resources. While some elementary data science skills will be appraised, the emphasis is on skill development through self learning. Because skills are a must for data science. Data science, as practiced today, arises out of the big datacloud computing world and complexity science. This means data science is an advanced discipline, requiring proficiency in parallel processing, map-reduce, computing, petabyte-sized noSQL databases, machine learning, advanced statistics and complexity science. I believe that data science is as much about mindset as it is about the skillful use of tools. Thus I want the students early in their careers to start thinking holistically about data science and related tools and techniques. There are many concepts and skills that a practical data scientist needs to know besides the fundamental principles of data science. These skills and concepts will be discussed in order to take advantage of free online data Science tutotials, courses, bootcamps, videos, blogposts, podcasts etc. This book Self Learning of Data Science for Free is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career. This item ships from La Vergne,TN. Paperback. Seller Inventory # 9781530150717

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Roy, Prof Ajit Kumar

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 153015071X ISBN 13: 9781530150717

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About this Item: Createspace Independent Publishing Platform, 2016. PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781530150717

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Roy, MR Ajit Kumar

Published by Createspace Independent Pub (2015)

ISBN 10: 1514370190 ISBN 13: 9781514370193

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About this Item: Createspace Independent Pub, 2015. PAP. Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781514370193

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Mr Ajit Kumar Roy

Published by CreateSpace Independent Publishing Platform

ISBN 10: 1514370190 ISBN 13: 9781514370193

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About this Item: CreateSpace Independent Publishing Platform. Paperback. Condition: New. This item is printed on demand. 108 pages. Dimensions: 9.0in. x 6.0in. x 0.2in.About the BookThe book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology. With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for ones need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and ProkaryoticMicrobial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high and secondary school, graduate and post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data. This item ships from La Vergne,TN. Paperback. Seller Inventory # 9781514370193

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Roy, Prof Ajit Kumar

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 1535188790 ISBN 13: 9781535188791

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About this Item: Createspace Independent Publishing Platform, 2016. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781535188791

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Prof Ajit Kumar Roy

Published by CreateSpace Independent Publishing Platform (2016)

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Prof Ajit Kumar Roy

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ISBN 10: 1535188790 ISBN 13: 9781535188791

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Each day, our society creates 2.5 quintillion bytes of data. With this flood of data the need to unlock actionable value becomes more acute, rapidly increasing demand for Big Data skills and qualified data scientists. Data Science and Big Data Analytics is about harnessing the power of data for new insights. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. Big Data brings new opportunities to modern society and challenges to data scientists. According to the optimists, big data in combination with the Internet of Things (IoT), a world where the vast majority of gadgets, machines, and humans are connected to the internet and to each other promises a future where all important decisions about business, life, and society would be taken purely and happily on the basis of data. Prime Minister Narendra Modi has launched an ambitious initiative to digitise India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Covering issues ranging from cyber security and promoting startups to digital highways and Design in India, Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs. Reliance Industries (RIL) Chairman Mukesh Ambani said that he will invest Rs2.5 lakh crores which will create employment for over five lakh people. Cyrus Mistry said that Tata Group will hire 60,000 IT professionals, this year. K.M. Birla said that the Aditya Birla Group would invest Rs44,500 crores in next five years in the infra and digital space. That is why Data Scientists are in high demand. The scarcity of data analytics talent is acute and demand for talent is expected to be on the higher because of the present digital India initiative besides many global organizations are outsourcing their work at India. There is not enough talent to fill the jobs. Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Bangalore becoming the data science hub of India both from new startup clusters as well as established analytics firm opening their shop in Bangalore. The book covers breadth of activities, methods and tools that Data Scientists use. It will guide how to become a successful data scientists coming from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Seller Inventory # APC9781535188791

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Ajit Kumar Roy, Niranjan Sarangi

ISBN 10: 8170355710 ISBN 13: 9788170355717

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Roy, MR Ajit Kumar

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ISBN 10: 1532989687 ISBN 13: 9781532989681

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About this Item: Createspace Independent Publishing Platform, 2016. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781532989681

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Prof Ajit Kumar Roy

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ISBN 10: 1535188790 ISBN 13: 9781535188791

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.Each day, our society creates 2.5 quintillion bytes of data. With this flood of data the need to unlock actionable value becomes more acute, rapidly increasing demand for Big Data skills and qualified data scientists. Data Science and Big Data Analytics is about harnessing the power of data for new insights. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. Big Data brings new opportunities to modern society and challenges to data scientists. According to the optimists, big data in combination with the Internet of Things (IoT), a world where the vast majority of gadgets, machines, and humans are connected to the internet and to each other promises a future where all important decisions about business, life, and society would be taken purely and happily on the basis of data. Prime Minister Narendra Modi has launched an ambitious initiative to digitise India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Covering issues ranging from cyber security and promoting startups to digital highways and Design in India, Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs. Reliance Industries (RIL) Chairman Mukesh Ambani said that he will invest Rs2.5 lakh crores which will create employment for over five lakh people. Cyrus Mistry said that Tata Group will hire 60,000 IT professionals, this year. K.M. Birla said that the Aditya Birla Group would invest Rs44,500 crores in next five years in the infra and digital space. That is why Data Scientists are in high demand. The scarcity of data analytics talent is acute and demand for talent is expected to be on the higher because of the present digital India initiative besides many global organizations are outsourcing their work at India. There is not enough talent to fill the jobs. Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Bangalore becoming the data science hub of India both from new startup clusters as well as established analytics firm opening their shop in Bangalore. The book covers breadth of activities, methods and tools that Data Scientists use. It will guide how to become a successful data scientists coming from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Seller Inventory # APC9781535188791

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Niranjan Sarangi,Ajit Kumar Roy

Published by Astral International (P) Ltd/Daya Publishing House (2009)

ISBN 10: 8170355710 ISBN 13: 9788170355717

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About this Item: Astral International (P) Ltd/Daya Publishing House, 2009. Hardcover. Condition: New. The book entitled ?Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture is the first of its kind avilable in the market. The book contains altogether sixteen chapter covering both capture and culture fisheries aspects contributed by various subject matter specialists engaged in research and development activities at various national institutes of repute. Each of the chapters has been specially written by an expert in the field bringing together in a single volume a range of approaches and reviews covering conceptual and mathematical model empirical and theoretical model deterministic and stochastic model biological model pond ecosystem model and explanatory models. Both linear as well as nonlinear models applied to fisheries and aquaculture research has been dealt with illustrated examples on current real fisheries data. Adequate attention has been given to select chapters that contain both theoretical as well as applied areas of research. Important chapters like statistical modelling and their application in fisheries quantitative methods in fish stock assessment time series modeling tropho dynamic modelling and forecasting of fish production by environment and species/groups have been added. Methods of multiobjective freshwater aquaculture model are altogether a new approach in aquaculture research containing valuable information. Besides conventional methods latest developments on expert system simulation articial neural network fuzzy logic soft computing techniques in data analysis have been documented for the first time in India. Advanced econometric approach in productivity analysis has been demonstrated with a real field data identifying the role of socio-economic and farm specific management variables on technical efficiency of aquaculture farm. Finally the book provides a comprehensive account of recent developments in modelling and forecasting and also an insightful and authoritative overview of the broad umbrella of modelling and forecasting. Each and every chapter is important for researchers planners and those associated with development activities to cope with the most challenging task of providing food and nutritional security to the present population as well as to plan for supply of food to the future population of the country.Contents: Contents Chapter 1: Statistical Modelling in Fisheries Research: An Overview by Prajneshu Chapter 2: Is Fisheries Sector in India Changing its Gear by Ganesh Kumar Chapter 3: Non-Linear Models for Forecasting Fish Production from Ponds by Lalmohan Bhar Chapter 4: Statistical Models and their Application in Fishery Science Research by R Venugopalan and Prajneshu Chapter 5: Methods of Forecasting and their Application in Fishery Science by P K Sahu Chapter 6: Modelling in Aquaculture by A K Roy Chapter 7: Modelling of Multiobjective Freshwater Aquaculture by Pratap K J Mohapatra, Santosh K Prusty and C K Mukherjee Chapter 8: A Revisit to Building up Models in Fishery Research by Satyabrata Pal and Subhabaha Pal Chapter 9: Quantitative Techniques for Fish Stock Assessment by R S Biradar Chapter 10: Quantitative Techniques for Fish Stock Assessment by R S Biradar Chapter 11: Tropho-Dynamic Modelling for Ecosystem Based Fisheries Management by Preetha Panikkar and M feroz Khan Chapter 12: Forecasting of Fish Production of India by Culture Environment and Species by A K Roy and Nirupama Panda Chapter 13: Expert Systems and Simulation Studies in Agriculture Aquaculture by J Panduranga Rao Chapter 14: Recent Trends in Artifical Neural Network (ANN) and Fuzzy Logic and their Application in Aquaculture by M Balakrishnan and R C Srivastava Chapter 15: Soft Computing Techniques for Data Analysis and Modelling in Fisheries by H C Verma Chapter 16: An Econometric Model for Productivity Analysis of Aquaculture Far Printed Pages: 254. Seller Inventory # 70779

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Mr Ajit Kumar Roy

Published by CreateSpace Independent Publishing Platform (2015)

ISBN 10: 1514370190 ISBN 13: 9781514370193

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Roy, Prof Ajit Kumar

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ISBN 10: 1535188790 ISBN 13: 9781535188791

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About this Item: Createspace Independent Publishing Platform, 2016. PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781535188791

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MR Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 1532989687 ISBN 13: 9781532989681

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. Presently, scientists, engineers, educators, citizens and decision-makers have unprecedented amounts and types of data available to them that are generated from many sources, including scientific instruments, medical devices, telescopes, microscopes, satellites; digitally-authored media, text, images, audio, and emails; streaming data from weblogs, videos, financial commercial transactions. Now we are facing challenges in the management of data and knowledge; and data-enabled discovery processes. Therefore, attention is given on the computational, mathematical, and statistical methods for data analysis; and visualization techniques for making sense of the data. Data Science is an applied activity and data scientists serve the needs and solve the problems of data users. Data Science is a flourishing industry. Countries and companies around the world are continuously experiencing a rush in the amount of data collected. They are determined to hire experts who can work on their data and improve their lives. Such experts are known by many names and most popular is Data Scientist . Thomas Davenport and D.J. Patil brought the data scientist into the national spotlight terming Data Scientist: The Sexiest Job of the 21st Century . Data Scientists are in high demand. There is simply not enough talent to fill the jobs. The demand for Analytics skill is going up steadily globally but there is a huge deficit on the supply side. In spite of Big Data Analytics being a Hot job, there are still a large number of unfilled jobs across the globe due to shortage of required skill. A new study of LinkedIn profiles by RJMetrics has found that the number of data scientists has doubled over the last 4 years . This reflects the increasing demand for sophisticated data analysis skills, combining computer programming with statistics, and the growth in the popularity of the term data science. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.India currently has the acute scarcity of data analytics talent and demand for talent is expected to be on the higher side as more global organizations are outsourcing their work. According to expert opinion to become a data scientist, you need is to have enough baseline knowledge and experience, and the skill to constantly adapt and learn. Boot camps are the perfect medium for making the transition. Data science is big landscape and self-learning is the necessary skill if anyone wants to become a good data scientist. MOOCs had been Major source of treasure for the data scientist. You can search through this exhaustive list of courses duly reviewed by experts and documented in the book entitled. Data Science-A Career Option for 21st Century .The book is broadly compiled with the following seven chapters and within each chapter there are many points to get the answers of the key questions that are likely to come from the aspiring Data Scientists. Besides, the book contains web addresses, links, tutorials, video, blog posts that will guide one to the right direction to learn and equip one to become a successful Data Scientist. The book is an ideal read for budding data scientists who are just getting started in the field. This book will give you the knowledge and insights you need to hit the ground running in this fast-growing field. This is an essential perfect book for the aspiring data science job seeking candidates. Seller Inventory # APC9781532989681

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MR Ajit Kumar Roy

Published by Createspace Independent Publishing Platform (2016)

ISBN 10: 1532989687 ISBN 13: 9781532989681

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About this Item: Createspace Independent Publishing Platform, 2016. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.Presently, scientists, engineers, educators, citizens and decision-makers have unprecedented amounts and types of data available to them that are generated from many sources, including scientific instruments, medical devices, telescopes, microscopes, satellites; digitally-authored media, text, images, audio, and emails; streaming data from weblogs, videos, financial commercial transactions. Now we are facing challenges in the management of data and knowledge; and data-enabled discovery processes. Therefore, attention is given on the computational, mathematical, and statistical methods for data analysis; and visualization techniques for making sense of the data. Data Science is an applied activity and data scientists serve the needs and solve the problems of data users. Data Science is a flourishing industry. Countries and companies around the world are continuously experiencing a rush in the amount of data collected. They are determined to hire experts who can work on their data and improve their lives. Such experts are known by many names and most popular is Data Scientist . Thomas Davenport and D.J. Patil brought the data scientist into the national spotlight terming Data Scientist: The Sexiest Job of the 21st Century . Data Scientists are in high demand. There is simply not enough talent to fill the jobs. The demand for Analytics skill is going up steadily globally but there is a huge deficit on the supply side. In spite of Big Data Analytics being a Hot job, there are still a large number of unfilled jobs across the globe due to shortage of required skill. A new study of LinkedIn profiles by RJMetrics has found that the number of data scientists has doubled over the last 4 years . This reflects the increasing demand for sophisticated data analysis skills, combining computer programming with statistics, and the growth in the popularity of the term data science. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.India currently has the acute scarcity of data analytics talent and demand for talent is expected to be on the higher side as more global organizations are outsourcing their work. According to expert opinion to become a data scientist, you need is to have enough baseline knowledge and experience, and the skill to constantly adapt and learn. Boot camps are the perfect medium for making the transition. Data science is big landscape and self-learning is the necessary skill if anyone wants to become a good data scientist. MOOCs had been Major source of treasure for the data scientist. You can search through this exhaustive list of courses duly reviewed by experts and documented in the book entitled. Data Science-A Career Option for 21st Century .The book is broadly compiled with the following seven chapters and within each chapter there are many points to get the answers of the key questions that are likely to come from the aspiring Data Scientists. Besides, the book contains web addresses, links, tutorials, video, blog posts that will guide one to the right direction to learn and equip one to become a successful Data Scientist. The book is an ideal read for budding data scientists who are just getting started in the field. This book will give you the knowledge and insights you need to hit the ground running in this fast-growing field. This is an essential perfect book for the aspiring data science job seeking candidates. Seller Inventory # APC9781532989681

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Roy, MR Ajit Kumar

Published by Createspace Independent Publishing Platform (2015)

ISBN 10: 1516963148 ISBN 13: 9781516963140

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About this Item: Createspace Independent Publishing Platform, 2015. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781516963140

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Roy, MR Ajit Kumar

Published by Createspace Independent Publishing Platform (2015)

ISBN 10: 1512355755 ISBN 13: 9781512355758

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Prof Ajit Kumar Roy

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ISBN 10: 1535188790 ISBN 13: 9781535188791

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About this Item: CreateSpace Independent Publishing Platform. Paperback. Condition: New. This item is printed on demand. 418 pages. Dimensions: 9.0in. x 6.0in. x 0.9in.Each day, our society creates 2. 5 quintillion bytes of data. With this flood of data the need to unlock actionable value becomes more acute, rapidly increasing demand for Big Data skills and qualified data scientists. Data Science and Big Data Analytics is about harnessing the power of data for new insights. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. Big Data brings new opportunities to modern society and challenges to data scientists. According to the optimists, big data in combination with the Internet of Things (IoT), a world where the vast majority of gadgets, machines, and humans are connected to the internet and to each other promises a future where all important decisions about business, life, and society would be taken purely and happily on the basis of data. Prime Minister Narendra Modi has launched an ambitious initiative to digitise India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Covering issues ranging from cyber security and promoting startups to digital highways and Design in India, Government will invest Rs4. 5 lakh crores in the Digital India program which will generate 18 lakh jobs. Reliance Industries (RIL) Chairman Mukesh Ambani said that he will invest Rs2. 5 lakh crores which will create employment for over five lakh people. Cyrus Mistry said that Tata Group will hire 60, 000 IT professionals, this year. K. M. Birla said that the Aditya Birla Group would invest Rs44, 500 crores in next five years in the infra and digital space. That is why Data Scientists are in high demand. The scarcity of data analytics talent is acute and demand for talent is expected to be on the higher because of the present digital India initiative besides many global organizations are outsourcing their work at India. There is not enough talent to fill the jobs. Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Bangalore becoming the data science hub of India both from new startup clusters as well as established analytics firm opening their shop in Bangalore. The book covers breadth of activities, methods and tools that Data Scientists use. It will guide how to become a successful data scientists coming from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. This item ships from La Vergne,TN. Paperback. Seller Inventory # 9781535188791

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