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Principles of Data Science

You're reading from   Principles of Data Science A beginner's guide to essential math and coding skills for data fluency and machine learning

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837636303
Length 326 pages
Edition 3rd Edition
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Author (1):
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Sinan Ozdemir Sinan Ozdemir
Author Profile Icon Sinan Ozdemir
Sinan Ozdemir
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Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Data Science Terminology 2. Chapter 2: Types of Data FREE CHAPTER 3. Chapter 3: The Five Steps of Data Science 4. Chapter 4: Basic Mathematics 5. Chapter 5: Impossible or Improbable – A Gentle Introduction to Probability 6. Chapter 6: Advanced Probability 7. Chapter 7: What Are the Chances? An Introduction to Statistics 8. Chapter 8: Advanced Statistics 9. Chapter 9: Communicating Data 10. Chapter 10: How to Tell if Your Toaster is Learning – Machine Learning Essentials 11. Chapter 11: Predictions Don’t Grow on Trees, or Do They? 12. Chapter 12: Introduction to Transfer Learning and Pre-Trained Models 13. Chapter 13: Mitigating Algorithmic Bias and Tackling Model and Data Drift 14. Chapter 14: AI Governance 15. Chapter 15: Navigating Real-World Data Science Case Studies in Action 16. Index 17. 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

A/B test 109

adversarial debiasing 253

algorithmic bias 248, 249

aggregation bias 250

disparate impact 249

disparate treatment 249

emerging techniques 257

measurement bias 249

measuring 251

mitigating 252

mitigating, during data preprocessing 253

mitigating, during model in-processing 253

mitigating, during model postprocessing 254

pre-existing bias 249

proxy bias 250

sample bias 249

significance, of fairness 252

types 248, 249

unaddressed bias, consequences 251

algorithmic bias, sources

aggregation bias 250

historical bias 250

proxy bias 250

representation or sample bias 250

alternative hypothesis 141

architectural governance 264, 275

dimensions 276

pillars 275, 276

transformative architectural principles...

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