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138562354
Machine Learning Algorithms in Depth Paperback – 12 Aug. 2024
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138562354
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Product Details
| Publisher | Manning Publications |
| Publication date | 12 Aug. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 328 pages |
| ISBN-10 | 1633439216 |
| ISBN-13 | 978-1633439214 |
| Item weight | 567 g |
| Dimensions | 18.73 x 2.03 x 23.5 cm |
| Country of Origin | This item will be imported from UK |
| Date First Available | May 30, 2025 |
| What is in the box | Machine Learning Algorithms in... For more details, please check description/product details |
Product Description
Machine Learning Algorithms in Depth Paperback – 12 Aug. 2024
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Customer Questions & Answers
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Who is this book intended for?
Answer: It's designed for intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. -
Question:
What topics does this book cover?
Answer: It covers machine learning algorithms, focusing on Bayesian methods, practical implementations, and troubleshooting techniques. -
Question:
How will this book help me in my ML projects?
Answer: It provides the knowledge to modify algorithms for specific needs and enhances your ability to interpret results for stakeholders.
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Features & Benefits
- Develop mathematical intuition for improved model performance.
- Focus on probability-based algorithms and Bayesian inference.
- Explore implementations of dozens of ML algorithms like EM, Active Learning, and more.
- Learn to troubleshoot complex ML problems with practical examples.
- Shift from generic ML libraries to tailored algorithm development.
- Ideal for intermediate practitioners with knowledge of linear algebra and calculus.
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