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

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781837636303

Length 326 pages

Edition 3rd Edition

Languages

Python

Tools

MLOps

Concepts

Data Science

Author (1):

Sinan Ozdemir

View More author details

Table of Contents (18) Chapters

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

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AI Governance

In the era of technology that we currently reside in, disruptive innovations are largely fueled by data, analytics, and AI. These elements are forging new paths across multiple sectors, birthing fresh avenues for revenue, and redefining corporate management paradigms. Consider the projection by McKinsey & Co., which forecasts an addition of over $15 trillion in business value by 2030, solely attributed to analytics and AI. In recognizing this goldmine, global organizations are fervently channeling resources to establish a strong foothold in this data-driven domain. A 2022 survey by NewVantage Partners supports this notion and indicates that a staggering 97% of surveyed entities are amplifying their investments in data-centric and AI initiatives.

However, a significant paradox emerges here. Despite the enormous capital influx, the majority of organizations grapple with extracting tangible benefits from their data endeavors. So, what seems to be the impediment? The...