Hands-on machine learning with scikit-learn, keras, and tensorflow: concepts, tools, and techniques, to build intelligent systems
Publication details: Mumbai: O'Reilly Media & Shroff Publishers & Distributors, 2022.Edition: 3rd edDescription: xxv,834p.: col. ill.; pbk.: 23cmISBN:- 9789355421982
- 005.262 GER
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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IIT Gandhinagar | General | 005.262 GER (Browse shelf(Opens below)) | 1 | Checked out | 02/08/2024 | 033740 |
Includes Machine learning project checklist, autodiff, Special data structure, TensorFlow Graphs, and Index
Through a series of recent 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 practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.
Explore the machine learning landscape, particularly neural nets
Use Scikit-Learn to track an example machine-learning project end-to-end
Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
Use the TensorFlow library to build and train neural nets
Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
Learn techniques for training and scaling deep neural nets
https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
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