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Vare #:
108605568
Mastering Machine Learning, (Paperback)
Vare #:
108605568
DKK 361
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Hvad der skiller sig ud
Comprehensive Coverage
Offers an in-depth exploration of machine learning concepts, techniques, and applications, making it suitable for both beginners and seasoned professionals.
Practical Examples
Includes hands-on projects and case studies, allowing readers to apply learned techniques in real-world scenarios, enhancing understanding and retention.
Expert Insights
Authored by industry professionals, providing readers with insider perspectives and cutting-edge developments in machine learning, ensuring relevance in a rapidly evolving field.
Produktdetaljer
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | March, 2024 |
| Pages | 306 |
| Subgenre | Machine Theory |
| Series title | No Series |
| Edition | 1 |
| Publisher | Eldonusa |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.64 x 9.00 in (15.2 x 1.6 x 22.9 cm) |
| Assembled product weight | 0.91 lb (410 grams) |
| Bisac subject heading | Computers |
Hvem bør købe?
-
Aspiring Data Scientists
Ideal for beginners looking to build a strong foundation in machine learning concepts and practical applications.
-
Graduate Students
Supports advanced learners in their research and coursework, providing in-depth understanding of complex machine learning techniques.
-
Industry Professionals
Helps software engineers and analysts who want to implement machine learning solutions in real-world business scenarios.
-
Complete Newbies
Not suitable for those without any prior knowledge of programming or statistics, as it requires basic familiarity.
Produktbeskrivelse
Mastering Machine Learning, (Paperback)
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Dr Hesham Mohamed Elsherif All Books Editorial Review
Mastering Machine Learning, a non-fiction paperback published by Eldonusa, delves into the intricacies of machine theory within the realm of computing and internet technology. With a substantial 306 pages, this book aims to provide a comprehensive understanding of machine learning concepts and applications. It marks its first edition and is expected to be a valuable resource for technology-focused readers just as it launches in March 2024. Readers can anticipate a thorough exploration of machine learning mechanics, making it a relevant addition to their educational toolkit.
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Fordele
- Comprehensive coverage of machine learning topics
- Well-structured for ease of understanding
- Published by a reputable company
- Suitable for technology enthusiasts
- Thorough explanations for complex concepts
Ulemper
- May not include the latest advancements post-publication
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DKK 361
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