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Mahsulot #:
220782172
Master Machine Learning: Master Scikit-learn algorithms and PyTorch deep learning architectures (English Edition)
87% of respondents would recommend this to a friend
Mahsulot #:
220782172
UZS 904787
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What Stands Out
Comprehensive Learning
Covers both Scikit-learn and PyTorch, providing a complete learning path that empowers users to master machine learning and deep learning techniques effectively and efficiently.
Practical Applications
Includes real-world examples and projects, ensuring learners can apply theoretical knowledge to solve actual problems, making the learning process highly relevant and beneficial.
Expert Guidance
Features insights from industry experts and experienced practitioners, enriching the content with best practices and advanced techniques that set this edition apart from competitors.
Mahsulot tafsilotlari
| Publisher | BPB Publications |
| Publication date | April 23, 2026 |
| Language | English |
| Print length | 454 pages |
| ISBN-10 | 937854410X |
| ISBN-13 | 978-9378544101 |
| Item Weight | 1.71 pounds (780 grams) |
| Dimensions | 7.5 x 1.03 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Who Should Buy?
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Beginners in ML
Ideal for those starting in machine learning, providing foundational knowledge in Scikit-learn and PyTorch.
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Data Scientists
Great for data professionals seeking to enhance their machine learning and deep learning skills effectively.
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AI Enthusiasts
Perfect for individuals passionate about artificial intelligence and eager to master practical applications in ML.
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Advanced Practitioners
Not suitable for advanced users needing complex theoretical concepts or detailed optimization techniques in ML.
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Master Machine Learning: Master Scikit-learn algorithms and PyTorch deep learning architectures (English Edition)
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UZS 904787
Hoziroq buyurtma bering va oling Payshanba, Oktyabr 22
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Xususiyatlar va Afzalliklar
- Master Scikit-learn and PyTorch for cutting-edge AI.
- Comprehensive journey from Python basics to advanced deep learning.
- 20 hands-on chapters covering essential ML techniques.
- Learn to implement CNNs, RNNs, GANs, and more.
- Deploy models to Azure ML as production-ready APIs.
- Gain confidence to tackle real-world AI challenges.
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