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Synopsis
Describing Data Science is like trying to describe the silence of the forest– it should be easy, but somehow capturing the words is impossible. Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing). Data Science supports and encourages shifting between deductive (hypothesis-based) and inductive (pattern-based) reasoning. This is a fundamental change from traditional analytic approaches. Data Science creates an environment where models of reality no longer need to be static and empirically based. Instead, they are constantly tested, updated and improved until better models are found. While there are countless industry and academic publications describing what Data Science is and why we should care, little information is available to explain how to make use of data as a resource. This book has tried to explain it a little.
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About the Author
Dr. C. Balakrishnan is Assistant Professor in Alagappa Institute of Skill Development, Alagappa University, Karaikudi, India, formerly teaching in St. Joseph’s College, Tiruchirappalli, India. He has completed the on-line course on ‘MongoDB for DBAs’ offered by 10gen Inc. He has several international publications and books.
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A Practitioner's Guide to Data Science
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A Practitioner's Guide to Data Science
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A Practitioner's Guide to Data Science
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Describing Data Science is like trying to describe the silence of the forest- it should be easy, but somehow capturing the words is impossible. Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing). Data Science supports and encourages shifting between deductive (hypothesis-based) and inductive (pattern-based) reasoning. This is a fundamental change from traditional analytic approaches. Data Science creates an environment where models of reality no longer need to be static and empirically based. Instead, they are constantly tested, updated and improved until better models are found. While there are countless industry and academic publications describing what Data Science is and why we should care, little information is available to explain how to make use of data as a resource. This book has tried to explain it a little. 204 pp. Englisch. Seller Inventory # 9783659765377
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A Practitioner\ s Guide to Data Science
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Describing Data Science is like trying to describe the silence of the forest¿ it should be easy, but somehow capturing the words is impossible. Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing). Data Science supports and encourages shifting between deductive (hypothesis-based) and inductive (pattern-based) reasoning. This is a fundamental change from traditional analytic approaches. Data Science creates an environment where models of reality no longer need to be static and empirically based. Instead, they are constantly tested, updated and improved until better models are found. While there are countless industry and academic publications describing what Data Science is and why we should care, little information is available to explain how to make use of data as a resource. This book has tried to explain it a little.Books on Demand GmbH, Überseering 33, 22297 Hamburg 204 pp. Englisch. Seller Inventory # 9783659765377
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A Practitioner's Guide to Data Science
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Describing Data Science is like trying to describe the silence of the forest- it should be easy, but somehow capturing the words is impossible. Data Science is the art of turning data into actions. This is accomplished through the creation of data products, which provide actionable information without exposing decision makers to the underlying data or analytics (buy/sell strategies for financial instruments, a set of actions to improve product yield, or steps to improve product marketing). Data Science supports and encourages shifting between deductive (hypothesis-based) and inductive (pattern-based) reasoning. This is a fundamental change from traditional analytic approaches. Data Science creates an environment where models of reality no longer need to be static and empirically based. Instead, they are constantly tested, updated and improved until better models are found. While there are countless industry and academic publications describing what Data Science is and why we should care, little information is available to explain how to make use of data as a resource. This book has tried to explain it a little. Seller Inventory # 9783659765377
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