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Item #:
52260140
Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)
Item #:
52260140
PAB 57
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Product Details
| Publisher | Springer |
| Publication date | January 22, 2022 |
| Edition | 1st ed. 2022 |
| Language | English |
| Print length | 229 pages |
| ISBN-10 | 9811681929 |
| ISBN-13 | 978-9811681929 |
| Item Weight | 1.12 pounds (510 grams) |
| Dimensions | 6.14 x 0.56 x 9.21 inches (15.6 x 1.4 x 23.4 cm) |
| Part of series | Machine Learning: Foundations, Methodologies, and Applications |
Product Description
Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)
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Customer Questions & Answers
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Who is this book intended for?
Answer: This book is suitable for beginners and professionals across various fields of science and engineering. -
Question:
What key concepts does the book cover?
Answer: It covers the principles of machine learning, including data, model, loss, regularization, privacy-preservation, and explainability. -
Question:
How can this book help with ML applications?
Answer: It trains readers to break down ML applications into manageable components, helping them choose appropriate methods.
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PAB 57
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Features & Benefits
- Essential guide to understanding machine learning principles.
- Comprehensive coverage of ML methodologies and applications.
- Focus on data, model, and loss for effective ML implementation.
- Equips readers with tools to select the right ML methods.
- Ideal for both beginners and professionals in various fields.
- Promotes understanding of key concepts like regularization and privacy-preservation.
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