Get hands-on with machine learning using Python libraries like Scikit-Learn, Keras, and TensorFlow. Discover how to apply modern machine learning methods effectively in real-world scenarios.
Explore the latest in machine learning techniques with this comprehensive guide. Learn to use Scikit-Learn for classic machine learning, Keras for deep learning, and TensorFlow for building powerful neural networks. Gain practical insights through hands-on projects and real-world examples.
Key Features:
- Master the essential tools: Scikit-Learn, Keras, and TensorFlow
- A practical approach with numerous code samples and case studies
- Cover modern ML concepts including neural networks, deep learning, and more
- Understand how to apply machine learning in real-world problems
Brief Summary:
- A guide for developers, data scientists, and researchers wanting to implement advanced machine learning methods
- Covers the latest techniques from both Scikit-Learn and TensorFlow
- Includes exercises and solutions for deeper understanding
- Updated with new content reflecting recent advancements in the field
Attractive Keywords:
- Machine learning
- Scikit-Learn
- Keras
- TensorFlow
- Data science
- Deep learning
- Python programming
- Artificial intelligence
- Predictive analytics
- Real-world applications
Language: English
Publisher: O’Reilly Media
Dimensions: 7.4 x 1.5 x 9.2 inches
ISBN-10: 1492032646
ISBN-13: 978-1492032643
Publication Date: October 3, 2019
Print Length: 856 pages