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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

Deep learning and artificial intelligence

AI has experienced monumental strides in recent years, primarily driven by advancements in an area known as deep learning. As we continue our exploration of machine learning, it’s critical to understand these concepts, their relationship, and their profound impact on our modern technological landscape.

Artificial intelligence

AI, at its core, is the pursuit of creating machines that can perform tasks requiring human intelligence. These tasks include understanding natural language, recognizing patterns, making decisions, and perceiving environments.

AI can be broadly classified into two categories:

  • Narrow AI: These are systems designed to perform specific tasks, such as recommending songs on a music streaming app or providing driving directions on a navigation app. Most of the AI that we interact with today falls under this category.
  • General AI: These systems can understand, learn, adapt, and implement knowledge across...
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