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

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Hands-On Machine Learning with Scikit-Learn and PyTorch Vital Source e-bog

Aurélien Géron
(2025)
O'Reilly Media, Inc
840,00 kr.
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Hands-On Machine Learning with Scikit-Learn and Pytorch - Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and Pytorch

Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
(2025)
Sprog: Engelsk
O'Reilly Media, Incorporated
787,00 kr.
Bestil nu og få den leveret inden for 2-3 hverdage

Detaljer om varen

  • 1. Udgave
  • Vital Source E-book
  • Udgiver: O'Reilly Media, Inc (Oktober 2025)
  • ISBN: 9798341607958
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
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Detaljer om varen

  • Paperback: 875 sider
  • Udgiver: O'Reilly Media, Incorporated (December 2025)
  • ISBN: 9798341607989

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
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