Ajit Kumar Roy (229 results)

Condition: New. pp. 575.

Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. A good hardcover ex-library first edition without dustjacket. Usual stamps and stickers, otherwise contents are clean and unmarked.

Condition: New. pp. 144.

Hardcover. Condition: New. ISBN:9788132239666,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Condition: New. pp. xiv + 239.

Condition: New.

Condition: New.

XIV, 128 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Reliable and Sustainable Electric Power and Energy Systems Management. Sprache: Englisch.

Condition: New.

Condition: New.

XIV, 202 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Reliable and Sustainable Electric Power and Energy Systems Management. Sprache: Englisch.

Condition: New. pp. xiv + 665, Map (Col.).

Condition: New.

Hardcover. Condition: New. 1st Edition. This book provides a detailed overview to the topic of international fisheries governance and the drivers of IUU fishing. Technologies that directly address these challenges reduce costs and improve and expand farm operations both offshore and especially on land are reported in this communication. The book provides information on the following areas to scientists, resource managers and researchers working with big data to advance more sustainable fisheries practices. Modeling in the areas of Feed Conversion Ratio (FCR), Specific Feeding Ratio (SFR), Key Performance Indicators (KPI) that are needed for efficient management of resources for sustainable production from fisheries sector. Neural Network forecasts that exceeded other traditional forecasting methods such as linear or logistic regression systems. Application of Big Data Analytics in aquaculture that facilitated to bring the techniques of aquaculture to a new level of in depth understanding and unlocking the economic potential of improved management decisions particularly can spot business trends, prevent disease, combat crime, and even revolutionize the health of fisheries. Application of ANN to forecast water quality and temperature that benefits aquaculture process control. Sensor Technology that offers real-time environmental monitoring system for aquaculture in a wide range of areas and visual signal processing system to continuously control the feeding process of fish in aquaculture tanks. Artificial Intelligence Systems that in turn helps in increased process efficiency; reduced energy and water losses; reduced labor costs; reduced stress and disease; better understanding of the process and efficient accounting are also. Data mining for better control on the food loss and food quality in the aqua farming industry. Analysis of value chain of processed fish products partial budget analysis for better understanding of the farm s financial status and more efficient use of the resources available particularly for aquaculture practices. Tips for right type of statistical test to equip the social science researchers capable of performing of statistical tests for various rating scales mostly used for social sciences research. A holistic, global-scale focus on challenges of IUU and technology initiatives to face the challenge this unique book explores a wide range of analytical issues centered on the aquaculture process management. It is expected that this book will be most useful who aims in achieving FAO s sustainable development goal 14, which calls on the international community to effectively regulate fish harvesting end overfishing, illegal fishing and destructive fishing practices and to implement science-based management.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 150.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 191.

Condition: New.

Condition: New. pp. xiv + 510, Maps (Some Col.), Index.

Condition: New. pp. xv + 825.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. India's Budget for 2017-18 remained one of the most awaited budget presentations in recent decades where finance minister Arun Jaitley started by underlining the current government's efforts in putting India on a "transformative mode" through a series of reforms initiated over the last three years. "What is positive is that the middle class, for once, also gets a break through reduced taxes, as well as the small and medium enterprises (SME) sector. India will ramp up spending on rural areas, infrastructure and fighting poverty. Finance minister Arun Jaitley added that the impact on growth from the government's cash crackdown would wear off soon as well as hardship to people. So he's trying to mitigate that as much as possible, with some rural schemes and reduction in taxation for low income people." Calling the Budget "mildly growth supportive," rating agency Crisil notes: "The Union Budget 2017 has performed a balancing act. The budget has others who see both positive and negative features. "This budget, like all budgets, is a mixed bag, with what appears to be a greater thrust on long-term, systemic reforms than on ensuring growth per se.The priority is on digital transactions and broader digitisation of India. The government is betting big on the BHIM app. India hopes to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth, and ultimately propel the country to the next chapter of its emerging markets story. The Budget announcements by finance minister Arun Jaitley clearly reflect Modi's confidence that the aam aadmi would support the "bigger moral purpose" behind demonetisation, which now guides various policy measures aimed at "cleansing the economy". The compiled book entitled 'Post Demonetisation Budget-2017- Expectations, Apprehensions and Reality' presents in-depth analysis, insights and key highlights from experts. For convenience of readers the book is divided into the following chapters.Chapter-1: Expectations from Budget-2017, Chapter-2: Economic Survey 2017, Chapter-3: Budget-2017-Opening Speech of President of India, Chapter-4: Fiscal Issues and Chapter-5: Union Budget 2017. Thanks to the original contributors of the articles presented in the book for bringing awareness among the interested readers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. pp. xxii + 606, Maps (Mostly Col.).

Paperback. Condition: new. Paperback. The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. The first volume of the book entitled 'Big Data and Data Science Initiative in India-Upcoming Job Opportunities' was published in July 2016.Since then a lot of events have taken place India like Demonetisation, Cashless economy, GST bill etc. besides smart city project, make in India, digital healthcare and New India Vision. When Prime Minister Narendra Modi made the demonetisation announcement on the night of 8 November, it started an administrative chain reaction focused on squeezing money launderers, promoting less-cash economy and of course remonetising the banking system. The CAG's Centre for Data Management and Analytics (CDMA) is going to play a catalytic role to synthesise and integrate relevant data into auditing process. FIU and the RBI will be saddled with heaps of complex transaction data from the post-demonetisation months. Indian financial system is also generating huge data with several players' foreign banks, public sector banks, private banks, cooperative banks, rural banks, credit cooperatives, and the specialized non-banking financial corporations. Presently the Income Tax department of GOI, will reportedly use big data analytics to comb through personal bank deposits money holders. As per reports, the analytics tool was used in the past for corporate tax reporting. Now, for the first time it will be used on a massive scale to rule out any in discrepancies found in personal taxes and records. India aims to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth, and ultimately propel the country to the next chapter of its emerging markets story. 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. Digital India is a visionary initiative of the GOI to ensure that government services are made available to citizens electronically. Universal Banking Initiative in India in focusing on simplifying the customer experience. Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs.The government have huge complex transaction data from the post-demonetisation months. Now it is time to leverage data analytics capabilities to track down those who may have tried to game the banking system. Tools such as Big Data can be effective in collecting information about financial misappropriation. The data provided by banks can be analyzed to find unusual activity in currency flow, whether at an individual or a regional level," Global consulting firm McKinsey has said digital finance is a $700 billion opportunity for India, offering 11.8 per cent boost to GDP by 2025, benefitting millions of people. Keeping in view the major initiative by various departments of Govt. of India and private sectors in applying Bigdata and data science indifferent aspects of business, banking, healthcare, economy the book entitled 'Big Data and Data Science Initiative in India-Upcoming Job Opportunities(Vol.-2) is compiled. The book highlights the latest development in the initiative of GOI & private sectors and tools that Data Scientists use through the following chapters Ch-1: Understanding Bigdata and Data Science Ch-2: Trends in Big Data Analytics Ch-3: Bigdata and Data Science Application by Govt. of India- Ch-4: Data Science Application by Private Sectors Ch-5: Bigdata Applied in Agriculture Ch-6: Digital Transformation Initiative in India The compiled book will be useful for researchers of social, political, economic, legal, and business and marketing fields, besides engineering or other sciences engaged in Data-intensive applications, challenges, techniques and technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. The digital economy is rapidly developing worldwide as the largest driver of innovation, competition, and growth. Even though many people have been excluded, tremendous opportunities are available for the digital economy to support nancial inclusion for sustainable economic development. India could see a boost of $700 billion, an 11.8 per cent increase by 2025. This additional GDP could create up to 21 million jobs. McKinsey has estimated that Indians lose more than $2 billion a year in forgone income simply because of the time it takes travelling to and from a bank India aims to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth, and ultimately propel the country to the next chapter of its emerging markets story. The long-term impact will be a paradigm shift to the digital economy. The biggest hindrance to a digital economy is there being a huge information asymmetry between financial services providers and the consumers. Present Government had launched a major drive for financial inclusion in terms of opening Jan Dhan accounts, giving a statutory basis for Aadhaar, implementation of Directs Benefits Transfer, introduction of RuPay Cards and Voluntary Disclosure Scheme for unaccounted money. Demonetization of 500 and 1000 Rs. notes on 8th November, 2016 was another important milestone in this endeavour. Following demonetization, there has been a spurt in the digital payments across the country and both the volume and amount of money transacted through digital methods saw seen manifold increase since 9th November, 2016. P.M. Modi and his government's ministers have been educating people on how to move towards a cashless society. Economic digitization also increases the government's ability to enhance its taxation systems. India's informal economy is responsible for roughly 45% of GDP and 80% of employment, which means that billions of INR are being exchanged each year without the knowledge tax collectors. Currently, only 1% of India's population pays income tax. Demonetization and subsequent initiatives led to greater utilization of card but we don't have enough people with debit or credit cards, and not enough PoS machines to use them. This is apart from not enough people with mobile connections in India who have an Internet connection, a reliable Internet connection, with handsets that support Indian payment apps, and are active online daily? India is a country where 94% of the population is estimated to be in the unorganized sector which draws its payments in cash and only 10% of the population has ever used non-cash means of payments. The BHIM app has been launched. It will unleash the power of mobile phones for digital payments and financial inclusion. But how ready are we to go cashless? How affordable is it for people to go cashless? Is this country ready for complete virtual banking and removing physical cash out of the system? All these points are the main purpose of the book entitled 'India's Readiness for Digital Economy' with comprehensive statistics of present scenario of infrastructure facilities presented in the following chapters. Ch-1: Vision of Digital India Ch-2: Growth of Telecommunication Usage in India Ch-3: IT & ITe'S Industry in India Ch-4: Initiative for Financial Inclusion through Banking Sectors Ch-5: Post Demonetization Scenario Ch-6: India's Initiative towards Digital Economy The book is designed in the simplest form to understand digital economy and assess related infrastructure scenario of India and to be accessible to the people interested in the area. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: new. Paperback. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analysing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. A lot of work is done on big data. Now it is time to know its impact on welfare of the society. Therefore, the aim of the book is to understand real use cases, benefits, advantages, impact and future challenges. This book, 'Impact of Big Data Analytics on Business, Economy, Health Care and Society' is unique among those big-data books because of its great depth, technical approach and coverage of the emerging issues and approaches in various fields of Big Data like usecases, benefits and impact on society. The book is focused around the real-life implementation of Big Data technologies that will provide bold vision from leading innovators across the data-driven spectrum and help gain fresh insights and strategic momentum to grow further. The aim of this book is to be accessible to researchers, graduate students, and to application driven practitioners who work in data science, analytics and related fields. It is a timely and urgently needed publication as it provides the most up-to-date, crucial, and practical information for big data use cases, benefits, advantages, and impact. Speciality of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors along with its impact on society. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Print on Demand.

Paperback. Condition: Brand New. 364 pages. 1.02x9.02x5.98 inches. In Stock.