Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning / Alex J. Gutman, Jordan Goldmeier
By: Gutman, Alex J.
Contributor(s): Goldmeier, Jordan [author] | Ohio Library and Information Network.
Publisher: Indianapolis, Indiana : John Wiley & Sons Inc., ©2021Description: xxv, 226 p.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119741749.Subject(s): Data mining | Machine learningGenre/Form: Handbooks and manuals. | Print books. | Handbooks and manuals.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.9.D343 G88 2021 (Browse shelf) | Available | AU00000000018771 |
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| QA76.9 .D343 E74 2018 Confident data skills : master the fundamentals of working with data and supercharge your career / | QA76.9.D343 G63 2017 Think like a data scientist : tackle the data science process step-by-step / | QA76.9.D343 G758 2022 Text as data : a new framework for machine learning and the social sciences / | QA76.9.D343 G88 2021 Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning / | QA76.9.D343 H35 2016 Getting started with data science : making sense of data with analytics / | QA76.9.D343 K35 2020 Data mining : concepts, models, methods, and algorithms / | QA76.9 .D343 L445 2016 Fundamentals of big data : network analysis for research and industry / |
Includes bibliographical references and index
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?
Available to OhioLINK libraries
“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
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