Hands-On Machine Learning with Scikit-Learn and PyTorch

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1679
□ Nhà xuất bản : O'Reilly Media
□ Tác giả : Aurélien Géron
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 9798341607989
□ Số trang : 875 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ (350 từ)
The landscape of artificial intelligence has shifted significantly, and 'Hands-On Machine Learning with Scikit-Learn and PyTorch' arrives as the definitive guide for the modern era. Through a series of practical breakthroughs, deep learning has transformed the field, making it accessible even to those with limited prior experience. In this comprehensive update to his bestselling series, author Aurélien Géron pivots to the PyTorch ecosystem, providing a production-ready roadmap for building intelligent systems. The book follows a rigorous, hands-on approach that balances minimal theory with concrete Python examples, ensuring readers gain an intuitive understanding of both the concepts and the tools.

The first half of the book focuses on the foundations of machine learning using Scikit-Learn. Readers are guided through a complete end-to-end project, from data exploration and cleaning to model selection and hyperparameter tuning. You will master traditional yet powerful techniques such as linear and polynomial regression, support vector machines, decision trees, and ensemble methods like random forests. The text also delves into unsupervised learning, covering essential techniques like clustering, dimensionality reduction, and anomaly detection.

Transitioning into the world of deep learning, the second half of the book leverages the flexibility of PyTorch and the vast Hugging Face ecosystem. Géron explores a wide array of neural network architectures, including convolutional neural networks for computer vision and recurrent networks for sequential data. Crucially, this edition provides deep dives into cutting-edge technologies such as transformers and diffusion models, which power today's most advanced AI. You will learn how to harness the power of large language models (LLMs) and fine-tune pretrained models for specific tasks. The book concludes with a thorough exploration of reinforcement learning, teaching you how to build autonomous agents capable of learning through interaction. With its blend of technical depth and practical application, this 875-page volume remains the essential textbook for students, software engineers, and data science professionals seeking to master the art of machine learning.

□ 2. Tác giả
Aurélien Géron is a renowned machine learning consultant and a former lead of YouTube's video classification team at Google (2013–2016). A prolific technologist, he founded and served as CTO for Wifirst, a major wireless ISP in France, and Polyconseil, the firm behind the Autolib' electric car-sharing service. His diverse engineering background spans finance at JP Morgan, defense for Canada's DOD, and healthcare. Known for his ability to simplify complex AI concepts, he is the author of the industry-standard 'Hands-On Machine Learning' series and a former Computer Science lecturer.