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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
90% of respondents would recommend this to a friend
ISK 15976
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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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What Stands Out
Upplýsingar um vöru
- Book designed for readers with Python programming experience and familiarity with main scientific libraries
- Suitable for those interested in machine learning applications such as customer segmentation, product recommendation, fraud detection, and revenue forecasting
- Intended to provide concepts, tools, and intuition needed to implement programs capable of learning from data
- Covers a wide range of techniques, from simple to deep learning algorithms, utilizing production-ready Python frameworks like Scikit-Learn, TensorFlow, and Keras
- Scikit-Learn is user-friendly and implements many machine learning algorithms efficiently, making it a great entry point to learning machine learning
- TensorFlow and Keras offer more complex and high-level deep learning capabilities, with TensorFlow supporting large-scale machine learning applications
| Publisher | O'Reilly Media |
| Publication date | 31 Oct. 2022 |
| Edition | 3rd |
| Language | English |
| Print length | 861 pages |
| ISBN-10 | 1098125975 |
| ISBN-13 | 978-1098125974 |
| Item weight | 1.36 kg |
| Dimensions | 18.42 x 5.08 x 24.13 cm |
Who Should Buy?
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Beginner Learners
Newcomers to machine learning who want a comprehensive introduction with practical examples and clear explanations will benefit greatly.
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Data Scientists
Professionals looking to enhance their practical skills in building machine learning models using popular libraries like TensorFlow and Keras.
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Computer Science Students
University students studying machine learning concepts who need a resourceful guide with hands-on coding exercises and projects.
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Advanced Practitioners
Experienced data scientists may find the content too basic and lacking in depth for their advanced needs.
VÖRULÝSING
Spurningar og svör viðskiptavina
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spurningu:
What programming language is used in this book?
svara: The book uses Python programming language with Scikit-learn, Keras, and TensorFlow frameworks. -
spurningu:
Do I need prior experience in deep learning?
svara: No, the book is suitable for programmers with little to no prior experience in deep learning. -
spurningu:
Does the book cover unsupervised learning techniques?
svara: Yes, the book covers unsupervised learning techniques such as clustering, dimensionality reduction, and anomaly detection.
Customer Reviews & Ratings
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10%
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3 stjarna
3%
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2 stjarna
1%
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1 stjarna
3%
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ISK 15976
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Eiginleikar og kostir
- 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
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