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Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)
88% of respondents would recommend this to a friend
HKD 477
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Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use.
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What Stands Out
產品詳情
- Comprehensive guide to understanding and building machine learning systems with Python
- Suitable for absolute beginners with basic Python coding skills and minimal college-level math knowledge
- Communicates machine learning ideas through plain-English stories, pictures, and Python examples
- Covers key mathematical and computational topics in an approachable manner
- Discusses building, training, and evaluating learning systems, and explores advanced techniques
- Includes practical insights applicable to various learning systems, and leverages Python scikit-learn library and other powerful tools
| Publisher | Addison-Wesley Professional |
| Publication date | 16 Aug. 2019 |
| Edition | 1st |
| Language | English |
| Print length | 588 pages |
| ISBN-10 | 0134845625 |
| ISBN-13 | 978-0134845623 |
| Item weight | 930 g |
| Dimensions | 17.78 x 2.54 x 23.11 cm |
Who Should Buy?
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Beginners in ML
Ideal for newcomers to machine learning who require a fundamental understanding and hands-on Python examples.
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Educators and Trainers
Perfect for instructors who want a structured resource to teach machine learning concepts to students effectively.
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Data Science Enthusiasts
Great for hobbyists looking to expand their knowledge and skills in machine learning using Python.
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Advanced Practitioners
Not suitable for experienced machine learning professionals seeking in-depth, advanced techniques or theoretical concepts.
產品敘述
Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)
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Data Mining Editorial Review
**** "Machine Learning with Python for Everyone" has garnered a positive reception from readers, particularly appealing to both beginners and those with some experience in the field of data science. Customers appreciate the book's clear explanations and practical approach to machine learning concepts. Many have noted that the inclusion of real-world examples and hands-on exercises makes the learning process more engaging and relatable, enabling readers to apply the theoretical concepts effectively. The book's structured format is frequently highlighted, with readers finding the chapter breakdowns and progression logical and easy to follow. The use of Python as the primary programming language is well-received, with users mentioning that it offers a practical application of the algorithms discussed. Reviewers often cite the author's ability to demystify complex topics, making them accessible for a broader audience. However, some critiques center on the depth of content, with a few advanced users wishing for more in-depth analysis and coverage of certain sophisticated topics. Despite these concerns, the overarching sentiment suggests that the book serves as an excellent introductory resource that successfully bridges the gap between theory and practical application in machine learning using Python. **
Customer Reviews & Ratings
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優點
- Clear and accessible explanations of complex topics.
- Practical, hands-on exercises that enhance learning.
- Real-world examples that relate to theoretical concepts.
- Well-structured format that aids comprehension.
- Suitable for both beginners and those with some background in the field.
缺點
- Some advanced users desire deeper coverage of sophisticated topics.
Product Price History
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HKD 477
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特色和優勢
- Master machine learning processes with Python
- Perfect for absolute beginners with minimal math knowledge
- Build, train, and evaluate learning systems step by step
- Learn core concepts, techniques, and sophisticated methods
- Applicable to every learning system for students, analysts, scientists, or hobbyists
- Includes access to downloads, updates, and corrections
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