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Item #:
90305660
Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Item #:
90305660
KWD 20
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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
| Item Weight | 1 lbs (450 grams) |
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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Customer Questions & Answers
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Question:
Is this book suitable for beginners?
Answer: Yes, it's designed for both beginners and experienced practitioners. -
Question:
What programming knowledge do I need?
Answer: Basic Python programming knowledge is required. -
Question:
Do I need additional software to follow along?
Answer: You will need access to libraries such as PyTorch and TensorFlow for practical examples.
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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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