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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
TWD 2681
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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.
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產品詳情
| Item Weight | 1.5 lbs (680 grams) |
產品描述
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
客戶問答
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問題:
What programming language is used in this book?
Answer: The book uses Python programming language with Scikit-learn, Keras, and TensorFlow frameworks. -
問題:
Do I need prior experience in deep learning?
Answer: No, the book is suitable for programmers with little to no prior experience in deep learning. -
問題:
Does the book cover unsupervised learning techniques?
Answer: Yes, the book covers unsupervised learning techniques such as clustering, dimensionality reduction, and anomaly detection.
AI & Machine Learning Editorial Review
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TWD 2681
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特色和優勢
- Book explores machine learning techniques using Scikit-learn, Keras and TensorFlow
- Suitable for programmers with no prior experience in deep learning
- Covers a range of models from simple linear regression to deep neural networks
- Includes code examples and exercises throughout the book
- Dives into neural net architectures for computer vision, NLP, generative models, deep reinforcement learning
- Explores unsupervised learning techniques like clustering, dimensionality reduction and anomaly detection