Part 3: Exploring Artificial Intelligence

The third part of this book covers various data mining techniques, how they work, the assumptions they make, their evaluation criteria, and their applications. We start with the foundations of inferential statistics, followed by increasingly more advanced data mining tasks, including the most popular machine learning models, neural networks, and generative AI. This part ends with helpful tips on deploying an effective MLOps strategy.

This part includes the following chapters:

• Chapter 8, Mining Data with Probability and Statistics
• Chapter 9, Understanding Feature Engineering and Preparing Data for Modeling
• Chapter 10, Mastering Machine Learning Concepts
• Chapter 11, Building Networks with Deep Learning
• Chapter 12, Implementing Machine Learning Solutions with MLOps