Python machine learning programming [PyTorch&scikit-learn edition] impress top gear Tankobon Softcover – December 15, 2022
ZAR 874
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This book is irreplaceable, both as an overview of the ambitious field of machine learning and as a treasure trove of practical knowledge.
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Product Details
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Beginner Data Scientists
Ideal for newcomers wishing to grasp machine learning concepts using Python libraries like PyTorch and scikit-learn.
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Students and Learners
Perfect for academic use, excellent for students needing a comprehensive guide for projects and coursework in machine learning.
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Professionals Upskilling
Beneficial for professionals seeking to enhance their skills in Python programming and machine learning techniques.
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Advanced Practitioners
Not suitable for experts who require in-depth analysis or advanced techniques beyond the foundational concepts covered.
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Complete Beginners
Users with no programming experience may struggle without initial basic knowledge of Python or coding practices.
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Casual Readers
Individuals seeking a light read or casual information may find this technical book too dense and challenging.
Product Description
Python machine learning programming [PyTorch&scikit-learn edition] impress top gear Tankobon Softcover – December 15, 2022
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Sebastian Raschka , uxi (Hayden) Liu , Vahid Mirjalili Editorial Review
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Pros
- Comprehensive learning materials
- User-friendly interface
- Strong community support
- Hands-on practical exercises
- Covers popular libraries
Cons
- Some advanced topics may be brief.
Product Price History
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ZAR 874
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Comprehensive guide covering basics to advanced machine learning techniques.
- In-depth explanations of scikit-learn and PyTorch for practical applications.
- Explores cutting-edge methods like Transformers and graph neural networks.
- Features hyperparameter tuning, ensemble learning, and regression analysis.
- Includes practical coding examples for real-world applications.
- Highly recommended by readers and industry experts for effective learning.
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