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Hands-On Machine Learning With Scikit-Learn, Keras, And TensorFlow, 3/e (Full Colour Print) (Bestseller)
Paperback
by Aurelien Geron
SKU:9789355421982
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Recent advancements in deep learning have revolutionized the field of machine learning, making it more accessible than ever before. This best-selling book empowers individuals, even those with limited prior knowledge, to leverage simple yet powerful tools for developing programs that learn from data. By employing concrete examples and minimizing theoretical complexities, the book utilizes production-ready Python frameworks such as scikit-learn, Keras, and TensorFlow to foster an intuitive understanding of the concepts and tools essential for building intelligent systems.
In this updated third edition, author Aurelien Geron guides you through a spectrum of techniques, commencing with fundamental linear regression and culminating in sophisticated deep neural networks. The book incorporates numerous code examples and practical exercises, facilitating the application of learned concepts. Only programming experience is required to embark on this journey. Learn the machine learning strategies to compete with the experienced trader.
- Utilize scikit-learn to manage a complete machine learning project from inception to completion.
- Investigate diverse models, encompassing support vector machines, decision trees, random forests, and ensemble methods. Master unsupervised learning techniques, including dimensionality reduction, clustering, and anomaly detection.
- Explore neural network architectures, such as convolutional nets, recurrent nets, generative adversarial networks, and transformers.
- Employ TensorFlow and Keras to construct and train neural networks for applications in computer vision, natural language processing, generative models, and deep reinforcement learning.
- Train neural networks using multiple GPUs and deploy them at scale with Google's Vertex AI.
