Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Mahsulot #: 278397575

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

Mahsulot #: 278397575

UZS 1247998

UZS 2350268

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What Stands Out

Comprehensive Coverage
Covers fundamental concepts through advanced techniques, ensuring readers gain a deep understanding of machine learning and AI applications.
Practical Tools
Introduces Scikit-Learn and PyTorch, two powerful libraries, providing hands-on experience in building real-world intelligent systems efficiently.
User-Friendly Approach
Designed for learners at all levels, the book simplifies complex topics, making machine learning accessible and engaging through practical examples.

Mahsulot tafsilotlari

Shop Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems online at a best price in Oʻzbekiston. B0F2SG98Q9
  • 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
Publisher O'Reilly Media
Publication date 4 Nov. 2025
Language English
Print length 840 pages
ISBN-13 979-8341607989
Item weight 1.47 kg
Dimensions 17.78 x 5.08 x 23.34 cm

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners eager to learn practical machine learning skills using popular libraries like Scikit-Learn and PyTorch.

  • Software Developers

    Perfect for developers wanting to integrate machine learning into applications or enhance their existing software projects.

  • Researchers and Academics

    Beneficial for those needing a comprehensive understanding of machine learning concepts for research or academic purposes.

Not Suitable For
  • Complete Beginners

    Not suitable for absolute novices with no prior experience in programming or machine learning concepts.

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