Hands-on code examples for building ML models using PyTorch, TensorFlow, Scikit-learn, and Pandas for real-world application
Dedicated chapters on NLP transformers (Bert, GPT) and multimodal computer vision models for up-to-date knowledge
Best practice tips throughout the book to improve model performance and solve common challenges
Step-by-step implementation of neural networks, linear and logistic regression, CNNs, RNNs, SVMs, and more
PDF version and Packt's next gen reader access included for flexible learning
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.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features