Becoming a data head: how to think, speak, and understand data science, statistics, and machine learning
"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI AdvantageYou've heard the hype around data--now get the facts.In...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Indianapolis, Indiana
Wiley
[2021]
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Schlagworte: | |
Zusammenfassung: | "Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI AdvantageYou'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* Avoid common pitfalls when working with and interpreting dataBecoming 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. |
Beschreibung: | xl, 226 Seiten Illustrationen, Diagramme |
ISBN: | 9781119741749 |
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520 | 3 | |a "Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI AdvantageYou'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* Avoid common pitfalls when working with and interpreting dataBecoming 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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id | DE-604.BV047519285 |
illustrated | Illustrated |
index_date | 2024-07-03T18:23:36Z |
indexdate | 2024-07-10T09:14:16Z |
institution | BVB |
isbn | 9781119741749 |
language | English |
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owner_facet | DE-634 |
physical | xl, 226 Seiten Illustrationen, Diagramme |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Wiley |
record_format | marc |
spelling | Gutman, Alex J. Verfasser (DE-588)1237755409 aut Becoming a data head how to think, speak, and understand data science, statistics, and machine learning Alex J. Gutman, Jordan Goldmeier Indianapolis, Indiana Wiley [2021] xl, 226 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier "Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI AdvantageYou'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* Avoid common pitfalls when working with and interpreting dataBecoming 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. Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Computer Science Data Mining & Knowledge Discovery Data Mining u. Knowledge Discovery Daten Informatik Maschinelles Lernen Data Science (DE-588)1140936166 s Maschinelles Lernen (DE-588)4193754-5 s Datenanalyse (DE-588)4123037-1 s DE-604 Goldmeier, Jordan Verfasser (DE-588)1093881399 aut Erscheint auch als Online-Ausgabe 978-1-119-74176-3 Erscheint auch als Online-Ausgabe 978-1-119-74171-8 |
spellingShingle | Gutman, Alex J. Goldmeier, Jordan Becoming a data head how to think, speak, and understand data science, statistics, and machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Data Science (DE-588)1140936166 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)1140936166 (DE-588)4123037-1 |
title | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning |
title_auth | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning |
title_exact_search | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning |
title_exact_search_txtP | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning |
title_full | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning Alex J. Gutman, Jordan Goldmeier |
title_fullStr | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning Alex J. Gutman, Jordan Goldmeier |
title_full_unstemmed | Becoming a data head how to think, speak, and understand data science, statistics, and machine learning Alex J. Gutman, Jordan Goldmeier |
title_short | Becoming a data head |
title_sort | becoming a data head how to think speak and understand data science statistics and machine learning |
title_sub | how to think, speak, and understand data science, statistics, and machine learning |
topic | Maschinelles Lernen (DE-588)4193754-5 gnd Data Science (DE-588)1140936166 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Maschinelles Lernen Data Science Datenanalyse |
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