Machine Learning For Dummies, (Paperback)
JPY 6106
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Your comprehensive entry-level guide to machine learning opens up incredible new directions in careers.
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製品詳細
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2021 |
| Pages | 464 |
| Reading level | General |
| Subgenre | Data Science |
| Series title | No Series |
| Number in series | 2 |
| Edition | 2nd Edition |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | College |
| Awards won | None |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.2 in |
| Assembled product weight | 1.35 lb (610 grams) |
| Bisac subject heading | Computers |
どんな人にお勧めですか?
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Beginners in ML
Ideal for those new to machine learning who seek a user-friendly introduction without complex jargon or assumptions.
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Self-learners
Perfect for individuals who prefer self-study, providing clear explanations and practical examples for better understanding.
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Non-technical Readers
Great for business professionals or enthusiasts looking to grasp ML concepts without a technical background or formal education.
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Advanced Data Scientists
Not suitable for seasoned practitioners who need in-depth analysis, technical discussions, or advanced algorithm insights.
製品説明書
Machine Learning For Dummies, (Paperback)
お客様の質問と回答
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質問:
Do I need prior programming experience to understand this book?
回答: No, the book is designed for beginners and does not assume prior programming knowledge. -
質問:
What tools will I learn to use?
回答: You will learn to work with Python 3.8, TensorFlow 2.x, and R, among other tools. -
質問:
How can this book help my career?
回答: By mastering machine learning principles, you can enhance your business skills and open up new career opportunities.
John Paul Mueller All Books Editorial Review
Machine Learning For Dummies, (Paperback) is a comprehensive guide designed for readers at a general reading level, aimed to simplify complex data science concepts. This non-fiction book, part of the Computing & Internet genre, spans 464 pages and was published by John Wiley & Sons in February 2021. Whether you're a beginner or looking to deepen your technological understanding, this 2nd Edition serves as an excellent resource for college-level students interested in the field of data science. Readers appreciate the straightforward explanations and practical examples, making it an accessible entry point into the world of machine learning.
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長所
- Comprehensive and easy-to-understand material
- Suitable for general reading levels
- Excellent resource for college students
- Real-world examples aid learning
- Non-fiction, non-technical approach
短所
- Not suitable for advanced machine learning experts
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JPY 6106
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特徴と利点
- Comprehensive entry-level guide to machine learning.
- Recommended by Mark Cuban for understanding A.I.
- Covers practical applications for career advancement.
- No prior programming experience required.
- Updated with the latest tools like Python 3.8 and TensorFlow 2.x.
- Friendly approach that makes learning accessible and fun.
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