Machine Learning For Dummies, Paperback
BAM 78
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Your comprehensive entry-level guide to machine learning opens up incredible new directions in careers.
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Detalji o proizvodu
| 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 |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.2 in (23.4 cm) |
| Assembled product weight | 1.35 lb (610 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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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.
OPIS PROIZVODA
Machine Learning For Dummies, Paperback
Pitanja i odgovori kupaca
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pitanje:
Do I need prior programming experience to understand this book?
odgovor: No, the book is designed for beginners and does not assume prior programming knowledge. -
pitanje:
What tools will I learn to use?
odgovor: You will learn to work with Python 3.8, TensorFlow 2.x, and R, among other tools. -
pitanje:
How can this book help my career?
odgovor: By mastering machine learning principles, you can enhance your business skills and open up new career opportunities.
John Paul Mueller All Books Editorial Review
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BAM 78
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Značajke i prednosti
- 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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