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Machine Learning Algorithms in Depth Paperback
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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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Hvad der skiller sig ud
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.
Produktdetaljer
| Digital File Size | PDF, Kindle, ePub |
| Digital Reader Format | PDF, Kindle, ePub |
| Language | English |
| Publisher | Manning |
| Book Format | Paperback |
| Original Languages | English |
| Number of Pages | 328 |
| Author | Vadim Smolyakov |
| Is Large Print | N |
| Title | Machine Learning Algorithms in Depth |
| ISBN-13 | 9781633439214 |
| Publication Date | June, 2024 |
| Assembled Product Dimensions (L x W x H) | 9.25 x 0.81 x 9.25 Inches (23.5 x 2.1 x 23.5 cm) |
| ISBN-10 | 1633439216 |
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Nonfiction |
| Pages | 328 |
| Edition | Standard Edition |
| Original languages | English |
| Educational level | General |
Hvem bør købe?
-
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.
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Advanced Experts
Not suitable for seasoned professionals who require cutting-edge research and advanced concepts beyond basic algorithms.
Produktbeskrivelse
Machine Learning Algorithms in Depth Paperback
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spørgsmål:
What prior knowledge do I need to read this book?
svar: Basic familiarity with linear algebra, probability, and calculus is recommended. -
spørgsmål:
Does the book include practical coding examples?
svar: Yes, each algorithm is followed by hands-on Python implementations with code annotations. -
spørgsmål:
Is there a digital version available with the print book?
svar: Yes, the purchase of the print book includes a free eBook in PDF and ePub formats.
Vadim Smolyakov All Books Editorial Review
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DKK 593
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Egenskaber og fordele
- 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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