Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
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MYR 291
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Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
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What Stands Out
Maklumat produk
| Publisher | Packt Publishing |
| Publication date | 31 July 2024 |
| Edition | 4. |
| Language | English |
| Print length | 518 pages |
| ISBN-10 | 1835085628 |
| ISBN-13 | 978-1835085622 |
| Dimensions | 19.05 x 3.02 x 23.5 cm |
Who Should Buy?
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Aspiring Data Scientists
Ideal for newcomers wanting practical insights into machine learning through hands-on examples and real-world applications.
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Developers Transitioning
Perfect for software developers looking to enhance their skills by incorporating machine learning into existing projects.
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Tech Enthusiasts
Great for enthusiasts eager to understand machine learning strategies along with practical implementation scenarios.
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Beginners in Coding
Not suitable for complete beginners who lack basic programming knowledge and fundamentals of Python coding.
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Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
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English edition Yuxi (Hayden) Liu Format: Paperback Editorial Review
Python Machine Learning By Example Unlock Machine Learning Best Practices With Real-world Use Cases is an insightful resource brought to you by Packt Publishing. This 518-page book, published on 31 July 2024, delves into machine learning concepts, equipping readers with practical knowledge through real-world use cases. The fourth edition is designed to help both beginners and advanced users understand the best practices in machine learning seamlessly. With a focus on English readers, this book's detailed structure makes complex ideas accessible, fostering a deeper understanding of applications in various domains.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Detailed real-world use cases enhance learning
- Well-structured content for all skill levels
- Covers best practices in machine learning
- Engaging examples facilitate practical application
- Updated edition includes recent developments
Keburukan
- Some readers may find it lengthy for quick reference
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MYR 291
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Ciri & Faedah
- Comprehensive guide for all levels in machine learning.
- Emphasizes machine learning best practices throughout.
- Includes hands-on examples using PyTorch, TensorFlow, and scikit-learn.
- Covers advanced techniques like NLP transformers and multimodal models.
- Provides insights from an experienced Google ML engineer.
- Free PDF copy included with print or Kindle purchase.
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