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24434443
Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow
90% of respondents would recommend this to a friend
Item #:
24434443
€ 90
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What Stands Out
Comprehensive Coverage
This book provides an extensive overview of machine learning techniques using Scikit-learn, Keras, and TensorFlow, making it suitable for beginners and experienced practitioners alike.
Practical Examples
Hands-on projects and real-world examples help readers apply theoretical concepts, enhancing the learning experience and enabling immediate application of skills in various domains.
Updated Content
Incorporating the latest advancements in machine learning frameworks ensures that readers are equipped with current knowledge and tools, setting them ahead in a rapidly evolving technology landscape.
Product Details
- Covers the essential tools for building and training intelligent systems
- Includes practical exercises and projects using Scikit-Learn, Keras, and TensorFlow
- Written by an expert in the field of machine learning and artificial intelligence
- Provides a comprehensive guide for both beginners and experienced practitioners
- Offers a hands-on approach to learning with real-world examples and applications
- An indispensable resource for anyone interested in machine learning
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2019 |
| Pages | 600 |
| Reading level | General/Trade |
| Subgenre | Computers |
| Edition | 2nd Edition |
| Publisher | Oreilly & Associates Inc |
| Original languages | English |
| Language | english |
| Awards won | None |
| Is collectible | N |
| Editor | Martin Tolich |
| Binding type | Perfect Binding |
| Assembled product dimensions (l x w x h) | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Assembled product weight | 1 lb (450 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Beginners in ML
Ideal for those new to machine learning, providing practical examples and straightforward explanations of concepts.
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Data Scientists
Data professionals wanting to enhance their skills with practical implementations using popular libraries like Scikit-learn and TensorFlow.
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AI Educators
Useful resource for instructors seeking comprehensive materials and hands-on examples to teach machine learning concepts.
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Advanced Users
Not suitable for experienced practitioners looking for cutting-edge techniques, as it primarily covers fundamental concepts.
Product Description
Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow
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Product Buying Guide
If you're looking to dive into the exciting world of machine learning, 'Hands-on Machine Learning with Scikit-learn, Keras, and TensorFlow' is the perfect companion for your learning journey. Packed with practical insights, this book equips you with the essential knowledge and hands-on experience to master machine learning using popular tools and libraries.
Product Specifications
- ISBN: 9781492032649
- Author: Aurélien Géron
- Publisher: O'Reilly Media
- Publication Date: March 2019
- Language: English
- Paperback: 856 pages
Key Features
- Comprehensive coverage of Scikit-learn, Keras, and TensorFlow
- Real-world examples and hands-on exercises
- Insights into deep learning, neural networks, and natural language processing
- Practical guidance on model deployment and scaling
- Updated with the latest tools and best practices in machine learning
Usage Scenarios
- Perfect for beginners and intermediate learners in machine learning
- Professionals looking to enhance their machine learning skills
- Ideal for self-paced learning or as a supplementary text in academic courses
- Useful for data scientists, AI engineers, and software developers
Usage Scenarios
There are several other books on machine learning available in the market that cover similar topics, such as 'Python Machine Learning' by Sebastian Raschka and 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. However, 'Hands-on Machine Learning with Scikit-learn, Keras, and TensorFlow' stands out due to its practical approach, extensive coverage, and updated content.
Some User Review
- The hands-on exercises and real-world examples really helped solidify my understanding of machine learning concepts. I highly recommend this book to anyone looking to jumpstart their journey in this field.
- The step-by-step guidance on using Scikit-learn, Keras, and TensorFlow made the complex topics much more accessible. The author's writing style is clear and engaging, making it an enjoyable learning experience.
- As someone with prior experience in machine learning, I found the advanced sections on deep learning and model scaling extremely insightful. This book caters to both beginners and seasoned professionals.
Competitors
When compared to similar books in the market, 'Hands-on Machine Learning with Scikit-learn, Keras, and TensorFlow' offers great value for its comprehensive content, practical insights, and up-to-date information. It's competitively priced, making it a worthwhile investment for anyone serious about mastering machine learning.
Buying Considerations
- Consider your current knowledge level in machine learning to ensure this book aligns with your learning goals.
- Evaluate the practical exercises and examples to gauge if they resonate with your learning style.
- Check for any bundled resources or online support that may enhance the learning experience.
- Explore additional reader reviews and feedback to understand how others have benefited from this book.
Conclusion
In conclusion, 'Hands-on Machine Learning with Scikit-learn, Keras, and TensorFlow' is a comprehensive and practical guide that offers valuable insights for beginners and seasoned professionals alike. With its hands-on approach and comprehensive coverage, this book serves as an essential resource for anyone looking to master machine learning using popular tools and libraries.
View LessIf you're looking to dive into the exciting world of machine learning, 'Hands-on Machine Learning with Scikit-learn, Keras, and TensorFlow' is the perfect companion for your learning journey. Packed with practical insights, this book equips you with the essential knowledge and hands-on experience to master machine learning using popular tools and libraries. Continue Reading
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Aurélien Géron All Books Editorial Review
Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow is an essential guide for anyone interested in practical machine learning. Published in August 2019, this non-fiction paperback contains 600 pages packed with insights and techniques relevant to computing and internet applications. The book, edited by Martin Tolich, follows a general trade reading level, making it accessible to a wide audience. Readers appreciate the hands-on approach that allows them to apply machine learning concepts using popular frameworks like Scikit-learn, Keras, and TensorFlow. It is well-structured, enabling both beginners and seasoned professionals to benefit from the comprehensive content.
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Pros
- Accessible to both beginners and experienced users
- Hands-on learning with practical examples
- Covers popular frameworks like Scikit-learn
- Well-structured for easy understanding
- Updated information relevant to current trends
Cons
- Some readers may prefer a hardcover option
Product Price History
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Features & Benefits
- Bestselling book by author Géron Aurélien
- Updated with concrete examples and minimal theory
- Uses Python frameworks Scikit-Learn and TensorFlow 2
- Helps users gain an intuitive understanding of building intelligent systems
- Covers a range of techniques, from simple linear regression to deep neural networks
- Exercises provided in each chapter to apply what is learned
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