Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases Paperback – 31 July 2024
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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
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| 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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Advanced Practitioners
Less beneficial for experienced machine learning experts seeking advanced theories or cutting-edge research methodologies.
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Non-technical Users
Not recommended for individuals without a technical background who may struggle with programming concepts and applications.
KWATANCEN ABUN
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases Paperback – 31 July 2024
Tambayoyi & Amsoshi na Abokan Ciniki
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Tambaya:
Is this book suitable for beginners?
Amsa: Yes, it's designed for both beginners and experienced practitioners. -
Tambaya:
What programming knowledge do I need?
Amsa: Basic Python programming knowledge is required. -
Tambaya:
Do I need additional software to follow along?
Amsa: You will need access to libraries such as PyTorch and TensorFlow for practical examples.
English edition Yuxi (Hayden) Liu Editorial Review
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Fasaloli & Fa'idoji
- 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.
