Part 2: Active Machine Learning in Practice

Building upon the foundational knowledge established in the first part, Part 2 of this book transitions from theory to application, showcasing the powerful impact of active ML across various projects. This section is meticulously designed to demonstrate how active ML principles can be applied to solve real-world problems, emphasizing practical implementation with computer vision examples. Through detailed case studies and in-depth examples, readers will gain insight into the versatility and efficiency of active ML strategies when faced with the complexities of actual data.

This part includes the following chapters:

• Chapter 4, Applying Active Learning to Computer Vision
• Chapter 5, Leveraging Active Learning for Big Data