Machine Learning Algorithms in Depth, (Paperback)
89% of respondents would recommend this to a friend
HKD 633
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Learn how machine learning algorithms work from the ground up so you can effectively troubleshoot your models and improve their performance.
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2024 |
| Pages | 328 |
| Reading level | Professional & Vocational |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Manning Publications |
| Original languages | English |
| Language | English |
| Educational level | General |
| Is collectible | N |
| Digital file format | PDF, Kindle, ePub |
| Digital reader format | PDF, Kindle, ePub |
| Digital audio file format | PDF, Kindle, ePub |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.40 x 0.67 x 9.24 in (18.8 x 1.7 x 23.5 cm) |
| Assembled product weight | 1.25 lb (570 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking a comprehensive understanding of machine learning concepts and practical applications.
-
Intermediary Practitioners
A great resource for those with some experience looking to deepen their knowledge and refine their skills.
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Educators and Students
Useful for teaching materials and students seeking structured learning about machine learning algorithms in a textbook format.
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Advanced Experts
Not suitable for seasoned professionals who require cutting-edge research and advanced concepts beyond basic algorithms.
Product Description
Machine Learning Algorithms in Depth, (Paperback)
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Vadim Smolyakov All Books Editorial Review
Machine Learning Algorithms in Depth, a non-fiction paperback by Manning Publications, delves into the complexities of machine learning with a focus on data science. This comprehensive book spans 328 pages and is designed for professional and vocational readers, making it a valuable resource for those looking to deepen their understanding of computing and internet technologies. The book is available in multiple digital formats, including PDF, Kindle, and ePub, catering to various reading preferences. Readers have found this publication informative and beneficial for mastering machine learning concepts, highlighting its clear explanations and practical examples.
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Pros
- Comprehensive coverage of machine learning topics
- Includes practical examples for deeper understanding
- Available in multiple digital formats
- Suitable for professional and vocational readers
- Well-structured for easy navigation
Cons
- No collectible edition available
Product Price History
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HKD 633
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Features & Benefits
- Master the fundamentals of machine learning algorithms.
- Explore practical implementations across diverse fields like finance and computer vision.
- Gain skills in troubleshooting and enhancing ML model performance.
- Deep dive into probabilistic algorithms with an emphasis on Bayesian inference.
- Includes free eBook with the purchase of the print version.
- Authoritative insights from experienced data scientist Vadim Smolyakov.
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