Description: Book descriptionThrough 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 netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets
Price: 49.95 USD
Location: Williston, Vermont
End Time: 2024-10-26T20:01:38.000Z
Shipping Cost: N/A USD
Product Images
Item Specifics
All returns accepted: ReturnsNotAccepted
Item Length: 9.2in.
Item Height: 1.7in.
Item Width: 6.9in.
Author: Aurélien Géron
Publication Name: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
Format: Trade Paperback
Language: English
Publisher: O'reilly, Incorporated
Publication Year: 2022
Type: Textbook
Item Weight: 52.7 Oz
Number of Pages: 850 Pages
