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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 tuningComplete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluationLearn techniques for unsupervised learning, such as clustering and anomaly detectionBuild advanced architectures like transformers and diffusion models with PyTorchHarness the power of pretrained models—including LLMs—and learn to fine-tune themTrain autonomous agents using reinforcement learning
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Machine Learning, AI & more
Machine Learning
Artificial Intelligence
Deep Learning
Language Processing (NLP, LLM)
Sharing the knowledge of experts
O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
ASIN : B0F2SG98Q9
Publisher : O’Reilly Media
Publication date : December 2, 2025
Edition : 1st
Language : English
Print length : 875 pages
ISBN-13 : 979-8341607989
Item Weight : 3.24 pounds
Dimensions : 7 x 2 x 9.19 inches
Best Sellers Rank: #18,119 in Books (See Top 100 in Books) #4 in Computer Vision & Pattern Recognition #5 in Computer Neural Networks #11 in Python Programming
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