Hands on machine learning scikit learn von geron (30 Ergebnisse)

Paperback. Zustand: Very Good. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.…

Zustand: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

Paperback. Zustand: Good. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.…

Paperback. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Paperback. Zustand: Good. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.…

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

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Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Trade Paperback. Zustand: Very Good - Cash. Light reader wear and rubbing to the edges, corners, covers, and pages. The book is in great condition! Stock photos may not look exactly like the book.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 856.

Zustand: New.

Zustand: New. In English.

Zustand: New. 2022. 3rd ed. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 3rd edition. 850 pages. 9.19x7.00x1.71 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 2nd edition. 819 pages. 9.50x7.00x1.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. - Use Scikit-learn to track an example ML project end to end - Explore several models, including support vector machines, decision trees, random forests, and ensemble methods - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection - Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers - Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning. …

Taschenbuch. Zustand: Neu. Neuware - 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.…

Taschenbuch. Zustand: Neu. Hands-On Machine Learning with Scikit-Learn and PyTorch | Concepts, Tools, and Techniques to Build Intelligent Systems | Aurélien Géron | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | O'Reilly Media | EAN 9798341607989 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: Akzeptabel. Zustand: Akzeptabel | Seiten: 834 | Sprache: Englisch | Produktart: Bücher | This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.…

Taschenbuch. Zustand: Neu. Neuware -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 learningLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 830 pp. Englisch.…

Taschenbuch. Zustand: Neu. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow | Concepts, Tools, and Techniques to Build Intelligent Systems | Aurélien Géron | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | O'Reilly Media | EAN 9781098125974 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Softcover. Zustand: gut. 2022. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow In englischer Sprache. pages.

Taschenbuch. Zustand: Neu. Neuware -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 830 pp. Englisch.…

Softcover. Zustand: gut. 2019. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, To In englischer Sprache. pages.