Hands-on Machine Learning with Scikit-Learn Keras and TensorFlow: Concepts

Name: Hands-on Machine Learning with Scikit-Learn Keras and TensorFlow: Concepts
Brand: Shroff Publishers & Distributors
SKU: 9789355421982
Price: 2600.0 INR
Availability: InStock

by Aurelien Geron

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ISBN13: 9789355421982
Binding: Paperback
Subject: Computer Science and Information Technology
Publisher: Shroff Publishers & Distributors
Publisher Imprint: Shroff Publishers & Distributors
Publication Date: October 10, 2022
Pages: 864
Original Price: INR 3250.0
Language: English
Edition: N/A
Item Weight: 1500 grams
BISAC Subject(s): N/A

About The Book

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Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs.

Through 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 best-selling 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 Aurelien Geron 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 machine learning 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, and transformers
Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
Train neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI

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