Python Machine Learning By Example, 4th Edition (True PDF)
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases 4th Edition by Yuxi (Hayden) Liu
English | July 31, 2024 | ISBN: 1835085628 | 527 pages | True PDF | 35 MB
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 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 PDF copy
Book Description:
The 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 ex-Google ML engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for ML engineers, data scientists, and analysts.