
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Format: Paperback
ISBN: 9798341607989
Publication Date: 12/02/2025
The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to realworld projects or are simply curious about how AI systems function, this book is your jumpingoff place.
With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and realworld examples, the book takes you through cuttingedge tools like ScikitLearn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.
- Understand ML basics, including concepts like overfitting and hyperparameter tuning
- Complete an endtoend ML project using scikitLearn, covering everything from data exploration to model evaluation
- Learn techniques for unsupervised learning, such as clustering and anomaly detection
- Build advanced architectures like transformers and diffusion models with PyTorch
- Harness the power of pretrained models—including LLMs—and learn to finetune them
- Train autonomous agents using reinforcement learning
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