In a way that's approachable yet deeply informative, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. With a focus on clear explanations and real-world Python examples, the book takes you through cutting-edge tools like scikit-learn and PyTorch—from basic regression techniques to advanced neural networks like transformers and generative adversarial networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to begin building intelligent systems.
- Understand ML basics, including concepts like overfitting and hyperparameter tuning
- Learn to build end-to-end ML projects using scikit-learn, from data exploration to model evaluation
- Explore advanced architectures like convolutional and recurrent neural networks with PyTorch
- Discover techniques for unsupervised learning, such as clustering and anomaly detection
- Increase your expertise in state-of-the-art AI systems by fine-tuning pretrained models
- Build tangible skills with complete hands-on coding exercises and real-world applications
In a way that's approachable yet deeply informative, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. With a focus on clear explanations and real-world Python examples, the book takes you through cutting-edge tools like scikit-learn and PyTorch—from basic regression techniques to advanced neural networks like transformers and generative adversarial networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to begin building intelligent systems.
- Understand ML basics, including concepts like overfitting and hyperparameter tuning
- Learn to build end-to-end ML projects using scikit-learn, from data exploration to model evaluation
- Explore advanced architectures like convolutional and recurrent neural networks with PyTorch
- Discover techniques for unsupervised learning, such as clustering and anomaly detection
- Increase your expertise in state-of-the-art AI systems by fine-tuning pretrained models
- Build tangible skills with complete hands-on coding exercises and real-world applications
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
800
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
800Paperback
Product Details
| ISBN-13: | 9798341607989 |
|---|---|
| Publisher: | O'Reilly Media, Incorporated |
| Publication date: | 12/02/2025 |
| Pages: | 800 |
| Product dimensions: | 7.00(w) x 9.19(h) x 0.00(d) |