The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorith, (Paperback)
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With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.
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Detalji o proizvodu
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2020 |
| Pages | 286 |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 2nd Edition |
| Publisher | Packt Publishing |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.50 x 0.60 x 9.25 in (19.1 x 1.5 x 23.5 cm) |
| Assembled product weight | 1.09 lb (490 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Aspiring Data Scientists
Perfect for beginners wanting to gain practical experience in developing machine learning algorithms effectively.
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Intermediate Programmers
Ideal for those with programming experience looking to enhance their skills in machine learning techniques.
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Academic Students
Beneficial for students studying data science or machine learning as a supplemental resource for hands-on learning.
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Beginner Programmers
Not suitable for those with no coding experience, as it requires some programming knowledge to benefit fully.
OPIS PROIZVODA
The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorith, (Paperback)
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Hyatt Saleh All Books Editorial Review
The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorithm is an essential paperback for anyone interested in computing. With 286 pages of insightful content published by Packt Publishing in July 2020, this non-fiction book explores the intricacies of machine learning algorithms. Readers appreciate the clear explanations and practical approach, making it an excellent resource for both beginners and experienced practitioners in the field. This edition focuses on high-performance algorithms, guiding readers through hands-on projects that enhance their understanding of machine learning concepts.
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Pros
- Informative content for developing machine learning algorithms
- Clear explanations suitable for all skill levels
- Hands-on projects to reinforce learning
- Well-structured chapters for easy navigation
- Updated second edition with the latest techniques
Protiv
- Some readers might prefer more advanced topics
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Značajke i prednosti
- Comprehensive, step-by-step guide to machine learning.
- Learn to use the scikit-learn library effectively.
- Hands-on experience with real-world datasets.
- Covers both supervised and unsupervised learning models.
- Develop neural networks and optimize performance.
- Ideal for beginners with Python programming experience.
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