Dedicated chapter on machine learning best practices for improved model development
New chapters on NLP transformers (Bert, GPT) and multimodal computer vision models for advanced techniques
Hands-on code examples using PyTorch, TensorFlow, Scikit-Learn, and Pandas for real-world applications
Step-by-step implementations of neural networks, SVMs, and reinforcement learning
Includes a free PDF copy with print or Kindle book purchase
Summarized by Shop
Author Yuxi (Hayden) Liu teaches machine learning from the fundamentals to building NLP transformers and multimodal models with best practice tips and real-world examples using PyTorch, TensorFlow, scikit-learn, and pandas Key Features: - Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling - Includes