Author Yuxi Hayden Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and realworld examples using PyTorch TensorFlow scikitlearn and pandasKey Features Discover new and updated content on NLP transformers PyTorch and computer vision modeling Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions Implement ML models such as neural networks and linear and logistic regression from scratch Purchase of the print or Kindle book includes a free book copyBook DescriptionThe fourth edition of Python Machine Learning by Example is a comprehensive guide for beginners and experienced ML practitioners who want to learn more advanced techniques like multimodal modeling. Written by experienced machine learning author and exGoogle ML engineer Yuxi Hayden Liu this edition emphasizes best practices providing invaluable insights for ML engineers data scientists and analysts.Explore advanced techniques including two new chapters on natural language processing transformers with BERT and GPT and multimodal computer vision models with PyTorch and Hugging Face. Youll learn key modeling techniques using practical examples such as predicting stock prices and creating an image search engine.This handson machine learning book navigates through complex challenges bridging the gap between theoretical understanding and practical application.