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020 _a9781098125974
020 _a978-9355421982
040 _aICTS-TIFR
050 _aQA76.73
100 _aAurélien Géron
245 _aHands-on machine learning with scikit-learn, keras, and tensorflow: concepts, tools, and techniques to build intelligent systems
250 _a3rd Ed.
260 _bO'Reilly (Shroff publishers & distributors pvt.ltd.)
_cc2022
_aMumbai
300 _a834 p.
520 _aThrough a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. --Use Scikit-learn to track an example ML project end to end --Explore several models, including support vector machines, decision trees, random forests, and ensemble methods --Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection --Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers --Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
856 _uhttps://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/?_gl=1*savjr7*_ga*MTY1OTgyODI2Mi4xNjgzMDE5MzU3*_ga_092EL089CH*MTY4NjIxNjUzMC4zLjAuMTY4NjIxNjUzNi41NC4wLjA.
_yTable of Contents
942 _2lcc
_cBK
999 _c32883
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