Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
| AUTHOR | Gron; Gron, Aurlien |
| PUBLISHER | O'Reilly Media (11/08/2022) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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 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 Aurlien Gron 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
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Product Format
Product Details
ISBN-13:
9781098125974
ISBN-10:
1098125975
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
Edition Number:
0003
More Product Details
Page Count:
861
Carton Quantity:
4
Product Dimensions:
7.00 x 1.71 x 9.19 inches
Weight:
2.97 pound(s)
Feature Codes:
Index,
Price on Product,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Data Science - Neural Networks
Computers | Artificial Intelligence - Computer Vision & Pattern Recognit
Computers | Artificial Intelligence - Natural Language Processing
Dewey Decimal:
006.31
Descriptions, Reviews, Etc.
publisher marketing
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 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 Aurlien Gron 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
Show More
List Price $89.99
Your Price
$64.79