Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python
Unlock the full potential of machine learning with "Machine Learning," your essential guide to conquering the
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English Pages 463 Year 2023
Table of contents :
Title Page
Contents
Chapter 1: Introduction to Machine Learning and Python
Chapter 2: Diving into Scikit-Learn
Chapter 3: Deep Dive into TensorFlow
Chapter 4: PyTorch Fundamentals
Chapter 5: Machine Learning Project Lifecycle
Chapter 6: Supervised Learning Techniques
Chapter 7: Unsupervised Learning and Generative Models
Chapter 8: Reinforcement Learning with Python
Chapter 9: Natural Language Processing (NLP) with Python
Chapter 10: Advanced Topics in Machine Learning
Chapter 11: Model Deployment and Scaling
Chapter 12: Capstone Projects and Real-World Applications
Additional Resources
Title Page
Contents
Chapter 1: Introduction to Machine Learning and Python
Chapter 2: Diving into Scikit-Learn
Chapter 3: Deep Dive into TensorFlow
Chapter 4: PyTorch Fundamentals
Chapter 5: Machine Learning Project Lifecycle
Chapter 6: Supervised Learning Techniques
Chapter 7: Unsupervised Learning and Generative Models
Chapter 8: Reinforcement Learning with Python
Chapter 9: Natural Language Processing (NLP) with Python
Chapter 10: Advanced Topics in Machine Learning
Chapter 11: Model Deployment and Scaling
Chapter 12: Capstone Projects and Real-World Applications
Additional Resources
- Author / Uploaded
- Van Der Post
- Hayden
- Similar Topics
- Computers
- Algorithms and Data Structures: Pattern Recognition
