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87943583
第3版Python機械学習プログラミング 達人データサイエンティストによる理論と実践 impress top gear
82% of respondents would recommend this to a friend
Item #:
87943583
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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.
Product Details
| Publisher | u30a4u30f3u30d7u30ecu30b9 |
| Publication date | October 22, 2020 |
| Language | Japanese |
| Print length | 688 pages |
| ISBN-10 | 4295010073 |
| ISBN-13 | 978-4295010074 |
| Item Weight | 500 g |
| Dimensions | 7.28 x 1.14 x 9.21 inches (18.5 x 2.9 x 23.4 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for those new to Python and machine learning concepts, providing clear explanations and practical examples.
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Data Science Students
Perfect for academic use, offering a blend of theory and practice suited for data science courses.
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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.
Product Description
第3版Python機械学習プログラミング 達人データサイエンティストによる理論と実践 impress top gear
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Sebastian Raschka , Vahid Mirjalili Software Design, Testing & Engineering Editorial Review
第3版Python機械学習プログラミング 達人データサイエンティストによる理論と実践 impress top gear is an extensive 688-page guide, published in Japanese, that delves into both the theory and practical applications of machine learning. The book, published by インプレス on October 22, 2020, helps readers harness the power of Python for data science projects. Its comprehensive approach is reflected in the well-structured chapters that cater to both novices and experienced developers looking to deepen their understanding. With a focus on real-world applications, this resource is ideal for anyone aiming to excel in the field of data science.
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Pros
- Comprehensive 688-page guide on machine learning
- Focuses on practical applications of Python
- Suitable for both beginners and experienced developers
- Well-structured chapters enhance learning
- Published by a reputable publisher, インプレス
Cons
- May be overwhelming for complete beginners
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Features & Benefits
- 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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