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Becoming a Data Head : How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning.

By: Contributor(s): Publisher: Indianapolis, Indiana : John Wiley & Sons, 2021Copyright date: 2021Description: xl, 226 pages : illustrations ; 23 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119741749
  • 1119741742
Subject(s): Genre/Form: DDC classification:
  • 006.312 23
  • 005.7 23
LOC classification:
  • QA76.9.D343 .G88 2021
Contents:
PART ONE: Thinking like a data head. What is the problem? ; What is data? ; Prepare to think statistically -- PART TWO: Speaking like a data head: Argue with the data ; Explore the data ; Examine the probabilities ; Challange the statistics -- PART THREE: Understanding the data scientist's toolbox. Search for hidden groups ; Understand the regression model ; Understand the classification model ; Understand the text analytics ; Conceptualize deep learning -- PART FOUR: Ensuring success. Watch out for pitfalls ; Know the people and personalities ; What's next?
Summary: 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.
List(s) this item appears in: 2023 New Titles
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Foothills Lab QA76.9 .D343 .G88 2021 1 Checked out 12/28/2024 50583020020396
Total holds: 0

Includes bibliographical references and index.

PART ONE: Thinking like a data head. What is the problem? ; What is data? ; Prepare to think statistically -- PART TWO: Speaking like a data head: Argue with the data ; Explore the data ; Examine the probabilities ; Challange the statistics -- PART THREE: Understanding the data scientist's toolbox. Search for hidden groups ; Understand the regression model ; Understand the classification model ; Understand the text analytics ; Conceptualize deep learning -- PART FOUR: Ensuring success. Watch out for pitfalls ; Know the people and personalities ; What's next?

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.

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