Section 1: Introduction to Automated Machine Learning

This part provides a detailed introduction to the landscape of automated machine learning, its pros and cons, and how it can be applied using open source tools and libraries. In this section, you will come to understand, with the aid of hands-on coding examples, that automated machine learning techniques are diverse, and there are different approaches taken by different libraries to address similar problems.

This section comprises the following chapters:

• Chapter 1, A Lap around Automated Machine Learning
• Chapter 2, Automated Machine Learning, Algorithms, and Techniques
• Chapter 3, Automated Machine Learning with Open Source Tools and Libraries