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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 3rd Edition (Full Colour Print) - Pre Order

MRP: Rs.3,000.00
Price in points: 3000 points
9789355421982
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(Pre-Order - Releasing November 2022)
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This product will be shipped on 25-11-2022

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Full Colour Edition

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 methodsExploit 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

Books

Author:
Aurelien Geron
Binding:
PAperback
Condition Type:
New
Country Origin:
India
Edition:
Third
Gift Wrap:
No
Leadtime to ship in days (default):
Pre-Order - Releasing November 2022
Leadtime to ship in days(if not in stock):
5 Months (Not Yet Published, Estimated Release date Nov 25, 2022)
Pages:
900
Publication Date:
25/11/2022
Publisher:
Shroff/O'Reilly
Year:
2022

Dimensions

Dimensions (W x H x D):
9x7x1.5 inches