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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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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

Specializing in an industry

The fields of data science, machine learning, and artificial intelligence, are progressing at an exponential rate. New breakthroughs and discoveries are made every day. Yet, despite these rapid advancements, the adoption of these cutting-edge technologies across industries often lags behind the pace of the advancements. There are several reasons for this, including regulation, data privacy concerns, and compliance requirements.

However, one of the most significant factors holding back the adoption of machine learning and artificial intelligence across different industries is a shortage of skills and knowledge of where to apply them. Unless you are working on artificial general intelligence in a frontier lab, it is likely that you will focus on the applications of data science, machine learning, or artificial intelligence within a specific sector.

As a data science leader, you can set yourself apart by having a solid understanding of techniques and...

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