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Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
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 real-world projects or are simply curious about how AI systems function, this book is your jumping-off 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 real-world examples, the book takes you through cutting-edge tools like Scikit-Learn 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 end-to-end ML project using scikit-Learn, 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 fine-tune them
Train autonomous agents using reinforcement learning
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 real-world examples, the book takes you through cutting-edge tools like Scikit-Learn 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 end-to-end ML project using scikit-Learn, 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 fine-tune them
Train autonomous agents using reinforcement learning
- GenresTechnical
1519 pages, Kindle Edition
Published October 22, 2025
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Displaying 1 - 2 of 2 reviews
September 23, 2026
Zacznę od tego, że jeżeli chodzi o tematykę tej książki jestem totalnym laikiem i nie mam zbyt dużej wiedzy o machine learningu. Na szczęście książka ta jest bardzo przystępnie napisana, a na początku czytelnik jest odsyłany do materiałów, które mogą mu się przydać aby przyswoić treść. Podstawy są dobrze wytłumaczone i poparte przykładami w Pythonie. Cały proces tworzenia modelu jest bardzo dobrze i dokładnie pokazany. Muszę również zwrócić uwagę na ilość tematów jaką można znaleźć w tej książce - od zwykłego machine learningu po sieci neuronowe. Zdecydowanie jest to świetna książka do nauki, jest dużo przykładów, wykresów. Mogę polecić tę pozycję dla każdego kto jest zainteresowanego tematem zarówno początkujących jak i ludziom bardziej zaznajomionych tematem.
współpraca barterowa z wydawnictwem helion
współpraca barterowa z wydawnictwem helion
February 9, 2026
I am impressed a nerd like the author knows about Brazilian funk carioca, which sounds nothing like James Brown LOL
Displaying 1 - 2 of 2 reviews