Description
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition) by Aurélien Géron is one of the most popular and trusted books for learning machine learning and deep learning through hands-on, practical examples.
This updated edition covers the latest ML techniques, workflows, and tools using Python. Readers learn how to build, train, and deploy ML models with Scikit-Learn, and dive into cutting-edge deep learning architectures using Keras and TensorFlow.
The book breaks down complex concepts into digestible chapters, making it perfect for beginners, intermediate learners, and professionals. It includes end-to-end ML projects, neural networks, CNNs, RNNs, GANs, training strategies, hyperparameter tuning, and real-world best practices.
Whether you’re preparing for a career in data science or upgrading your ML skills, this book serves as an essential resource.
⭐ Key Features:
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Covers Supervised & Unsupervised Learning with Scikit-Learn
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Deep learning with Keras & TensorFlow 2
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Practical, project-based learning
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Step-by-step ML workflows and model building
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Real-world examples and datasets
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Concepts explained in simple, intuitive language
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Covers CNNs, RNNs, GANs, Autoencoders & more
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Includes hyperparameter tuning and training strategies
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Ideal for ML engineers, data scientists, and Python developers
