Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning

"In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it....

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Bibliographic Details
Main Authors: Gutman, Alex J., Goldmeier, Jordan, (Author)
Format: eBook
Language: English
Published: Indianapolis, Indiana : John Wiley & Sons Inc., [2021]
Subjects:
Data mining.
Machine learning.
elektronické knihy
electronic books
ISBN: 9781119741718
1119741718
9781119741763
1119741769
1119741742
9781119741749
Physical Description: 1 online resource (xxv, 226 pages)

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Table of contents

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006 m o d
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008 210421s2021 inu ob 001 0 eng d
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020 |a 9781119741718  |q (electronic book) 
020 |a 1119741718  |q (electronic book) 
020 |a 9781119741763  |q (electronic bk.) 
020 |a 1119741769  |q (electronic bk.) 
020 |z 1119741742  |q (print) 
020 |z 9781119741749  |q (print) 
035 |a (OCoLC)1246726293  |z (OCoLC)1283077737 
100 1 |a Gutman, Alex J. 
245 1 0 |a Becoming a data head :  |b how to think, speak, and understand data science, statistics, and machine learning /  |c Alex J. Gutman, Jordan Goldmeier. 
264 1 |a Indianapolis, Indiana :  |b John Wiley & Sons Inc.,  |c [2021] 
300 |a 1 online resource (xxv, 226 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Introduction -- Part I. Thinking like a data head. What is the problem? -- What is data? -- Prepare to think statistically -- Part II. Speaking like a data head. Explore the data -- Examine the probabilities -- Challenge the statistics -- Part III. Understanding the data scientist's toolbox. Search for hidden groups -- Understand the regression model -- Understand the classification model -- Understand text analytics -- Conceptualize deep learning -- Part IV. Ensuring success. Watch out for pitfalls -- Know the people and personalities -- What's next? 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making. Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace. Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence. Avoid common pitfalls when working with and interpreting data. Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you'll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head - an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you."--Publisher's description. 
520 |a You've heard the hype around data--now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: think statistically and understand the role variation plays in your life and decision making; speak intelligently and ask the right questions about the statistics and results you encounter in the workplace ; understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence; and avoid common pitfalls when working with and interpreting data. Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you'll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head--an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Data mining. 
650 0 |a Machine learning. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Goldmeier, Jordan,  |e author. 
776 0 8 |i Print version:  |z 1119741742  |z 9781119741749  |w (OCoLC)1225976897 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpBDHHTSU1/becoming-a-data?kpromoter=marc  |y Full text 

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