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90305660
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
89% of respondents would recommend this to a friend
Item #:
90305660
NOK 706
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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
Practical Approach
Offers real-world use cases that enhance understanding of machine learning principles, providing readers with hands-on experience and practical insights for effective application.
Best Practices
Covers industry-standard best practices, ensuring that learners are equipped with the most relevant tools and techniques used by professionals for machine learning projects.
Comprehensive Coverage
Addresses various aspects of machine learning, making it suitable for both beginners and experienced practitioners looking to deepen their knowledge and refine their skills.
Product Details
| Publisher | Packt Publishing |
| Publication date | 31 July 2024 |
| Edition | 4th |
| Language | English |
| Print length | 518 pages |
| ISBN-10 | 1835085628 |
| ISBN-13 | 978-1835085622 |
| Item weight | 960 g |
| Dimensions | 19.05 x 3.02 x 23.5 cm |
Who Should Buy?
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Aspiring Data Scientists
Perfect for beginners looking to understand machine learning concepts through practical examples and real-world applications.
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Software Engineers
Ideal for developers wanting to incorporate machine learning into their software projects and enhance their technical skill set.
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Educators and Trainers
Great resource for instructors designing courses or workshops focused on practical applications of machine learning techniques.
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Advanced Practitioners
Not suitable for expert users seeking in-depth theoretical knowledge or advanced machine learning methodologies and algorithms.
Product Description
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
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AI & Machine Learning Editorial Review
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases is an impressive resource that demystifies complex concepts for learners at any level. With a perfect balance between theory and practical application, this 518-page book focuses on real-world use cases, whether it’s stock price forecasting or building recommendation systems. The author, Yuxi (Hayden) Liu, leverages his extensive experience from Google to provide clear, step-by-step guidance on various machine learning algorithms, making it easier for readers to grasp and apply these concepts in real projects. This book is truly a gem for anyone eager to deepen their machine learning expertise.
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Pros
- Engaging real-world examples enhance learning
- Covers both fundamentals and advanced topics
- Clear explanations of complex algorithms
- Hands-on projects for practical understanding
- Written by an industry expert with extensive experience
Cons
- Some readers might prefer more theoretical depth.
Product Price History
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Features & Benefits
- 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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