Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Textbook
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Unlock the World of Machine Learning with comprehensive knowledge and practical insights.
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產品詳情
| ISBN | 9781492032649 |
| Subject Area | Mathematics, Computers |
| Publication Name | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems |
| Publisher | O'reilly Media, Incorporated |
| Item Length | 9.4 in (23.88 cm) |
| Subject | Intelligence (Ai) & Semantics, General, Data Processing, Computer Vision & Pattern Recognition |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | Eng,Swa |
| Item Height | 1.4 in (3.56 cm) |
| Author | Auru00e9lien Gu00e9ron |
| Item Weight | 43.2 Oz (1224.72 grams) |
| Item Width | 7 in (17.78 cm) |
| Number of Pages | 848 Pages |
| Country of Origin | India |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for individuals pursuing a career in data science, as it provides practical skills in machine learning.
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Developers Moving to AI
Software developers looking to transition into artificial intelligence and machine learning will benefit from its clear explanations.
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Self-learners
Great resource for self-learners who prefer hands-on projects and real-world applications of machine learning techniques.
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Complete Beginners
Individuals with no prior programming or mathematical knowledge may struggle with the concepts explained in this textbook.
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編輯評論
Hands-On Machine Learning With Scikit-Learn, Keras, And TensorFlow Textbook is a comprehensive guide that explores various techniques to build intelligent systems. Authored by Aurélien Géron, this textbook spans 848 pages and covers critical subject areas like Artificial Intelligence and Data Processing. Readers will appreciate the clarity of concepts and practical applications presented, making it an excellent choice for both beginners and advanced learners in machine learning. The format, a trade paperback, ensures durability, while the multilingual aspect caters to a broader audience. It’s a must-have resource for anyone eager to delve into machine learning with practical implementations.
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優點
- Comprehensive coverage of machine learning techniques
- Written by renowned author Aurélien Géron
- Includes practical applications and hands-on projects
- Suitable for both beginners and advanced learners
- Durable trade paperback format
缺點
- Might be overwhelming for complete beginners
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特色和優勢
- Master the art of machine learning with hands-on techniques and accessible knowledge.
- Comprehensive guide covering basics to advanced methodologies across 848 pages.
- Real-world applications make it ideal for both beginners and experienced programmers.
- Learn to build intelligent systems using Python frameworks like Scikit-Learn and TensorFlow.
- Gain confidence in implementing machine learning techniques such as neural networks and decision trees.
- Stay updated with the latest breakthroughs in deep learning and AI solutions.
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