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物品 #:
87943583
3rd Edition Python Machine Learning Programming Theory and Practice by Master Data Scientists impress top gear Tankobon Softcover – October 22, 2020
82% of respondents would recommend this to a friend
物品 #:
87943583
MOP 347
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What Stands Out
Comprehensive Coverage
Covers both theoretical concepts and practical applications of Python in machine learning, ensuring readers grasp essential techniques and can apply them in real-world scenarios.
Expert Insights
Authored by Master Data Scientists, providing invaluable guidance and insider tips that enhance understanding and improve coding practices for aspiring machine learning professionals.
Updated Content
Released as the 3rd edition, it includes the latest advancements and tools in Python machine learning, equipping users with current skills essential for today's data-driven industry.
產品詳情
| Publisher | u30a4u30f3u30d7u30ecu30b9 (October 22, 2020) |
| Publication date | October 22, 2020 |
| Language | Japanese |
| Tankobon Softcover | 688 pages |
| ISBN-10 | 4295010073 |
| ISBN-13 | 978-4295010074 |
| Dimensions | 7.28 x 1.14 x 9.21 inches (18.5 x 2.9 x 23.4 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for those new to Python and machine learning concepts, providing clear explanations and practical examples.
-
Data Science Students
Perfect for academic use, offering a blend of theory and practice suited for data science courses.
-
Professionals Upskilling
Beneficial for industry professionals seeking to enhance their skills in Python and machine learning applications.
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Experienced Developers
Advanced users may find the content basic, lacking the depth needed for seasoned programmers.
產品敘述
3rd Edition Python Machine Learning Programming Theory and Practice by Master Data Scientists impress top gear Tankobon Softcover – October 22, 2020
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特色和優勢
- Best-selling machine learning book, now in its 3rd edition.
- Covers comprehensive machine learning concepts, including deep learning and reinforcement learning.
- Compatible with cutting-edge Python libraries like scikit-learn and TensorFlow.
- Updated chapters with insights from experienced authors.
- Translated into multiple languages and internationally recognized.
- Ideal for readers wanting to bridge the gap between theory and practical application.
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