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Data Science for Decision Makers

You're reading from   Data Science for Decision Makers Enhance your leadership skills with data science and AI expertise

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837637294
Length 270 pages
Edition 1st Edition
Languages
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Author (1):
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Jon Howells Jon Howells
Author Profile Icon Jon Howells
Jon Howells
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Understanding Data Science and Its Foundations
2. Chapter 1: Introducing Data Science FREE CHAPTER 3. Chapter 2: Characterizing and Collecting Data 4. Chapter 3: Exploratory Data Analysis 5. Chapter 4: The Significance of Significance 6. Chapter 5: Understanding Regression 7. Part 2: Machine Learning – Concepts, Applications, and Pitfalls
8. Chapter 6: Introducing Machine Learning 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Interpreting and Evaluating Machine Learning Models 12. Chapter 10: Common Pitfalls in Machine Learning 13. Part 3: Leading Successful Data Science Projects and Teams
14. Chapter 11: The Structure of a Data Science Project 15. Chapter 12: The Data Science Team 16. Chapter 13: Managing the Data Science Team 17. Chapter 14: Continuing Your Journey as a Data Science Leader 18. Index 19. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accuracy 104, 105

alternative hypothesis (H1) 61

examples 62

formulating 61

analytics engineers 194

industry insights 194

responsibilities 194

skills and knowledge 194

application programming interfaces (APIs) 30

applications, computer vision

autonomous vehicles 109

image recognition 109

medical imaging 109

applications, deep learning

image recognition 110

Natural Language Processing (NLP) 110

speech recognition 110

applications, Natural Language Processing (NLP)

automated summarization 108

chatbots 108

sentiment analysis 108

applications, supervised learning

consumer goods 122

manufacturing industry 123

retail industry 122

Apriori algorithm 133

using 133

Area Under the ROC (AUC-ROC) 106, 122

artificial intelligence...

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