Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases

What’s new in this edition of the book?​

This edition features two brand new chapters on advancing language understanding and generation with transformer models and building an image search engine using multimodal models.​

In addition, new material on GPT, representing words with dense vectors, estimating with support vector regression, and transfer learning, as well as a greater focus on PyTorch have been added.​

This edition also adds a multitude of new best practices to the book, providing you with valuable guidance every step of the way.​

In this book you’ll learn to:​