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Item #:
157394131
Machine Learning Algorithms in Depth, (Paperback)
89% of respondents would recommend this to a friend
Item #:
157394131
AOA 73174
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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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What Stands Out
Comprehensive Coverage
Delve into a wide array of machine learning algorithms, offering detailed explanations and real-world applications, appealing to both beginners and seasoned practitioners seeking deeper insights into the subject.
Practical Examples
Includes hands-on examples and case studies that reinforce learning, enabling readers to apply theoretical concepts in practice, thus enhancing both understanding and skill development in machine learning.
Expert Insights
Authored by industry leaders, this book provides valuable perspectives and best practices from experts, ensuring readers stay at the forefront of machine learning advancements and trends.
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.
-
Educators and Students
Useful for teaching materials and students seeking structured learning about machine learning algorithms in a textbook format.
-
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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Customer Questions & Answers
-
Question:
What prior knowledge do I need to read this book?
Answer: Basic familiarity with linear algebra, probability, and calculus is recommended. -
Question:
Does the book include practical coding examples?
Answer: Yes, each algorithm is followed by hands-on Python implementations with code annotations. -
Question:
Is there a digital version available with the print book?
Answer: Yes, the purchase of the print book includes a free eBook in PDF and ePub formats.
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
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AOA 73174
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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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