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Product Description
Hands-On Machine Learning with Scikit-Learn and PyTorch
The definitive practical guide to building intelligent systems — now updated with PyTorch. Whether you're a developer stepping into ML or a data scientist looking to sharpen your skills, this book gives you the tools, techniques, and intuition to go from concept to production-ready models.
Through concrete examples, minimal theory, and two powerful frameworks — Scikit-Learn and PyTorch — you'll learn how to train and fine-tune deep neural networks, tackle computer vision and NLP tasks, and deploy models at scale.
What You'll Learn
- End-to-end ML project workflow from data to deployment
- Classification, regression, and clustering with Scikit-Learn
- Deep learning fundamentals with PyTorch
- Convolutional and recurrent neural networks (CNNs & RNNs)
- Autoencoders, GANs, and diffusion models
- Best practices for training, regularization, and optimization
- Author: Aurélien Géron
- Genre: Technology / Machine Learning / Artificial Intelligence
- Format: Paperback
- Language: English
A must-have reference for anyone serious about machine learning — trusted by thousands of practitioners worldwide.
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