Description: Second edition of a great book. Covers Sci-Kit Learn and TensorFlow 2.0. Yes, the field is fast-moving, but this is a great reference and a great introduction. "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 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: 7 USD
Location: Seattle, Washington
End Time: 2024-11-13T03:40:44.000Z
Shipping Cost: 4.63 USD
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Item Specifics
All returns accepted: ReturnsNotAccepted
Number of Pages: 861 Pages
Language: English
Publication Name: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
Publisher: O'reilly Media, Incorporated
Item Height: 1.8 in
Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Neural Networks, Data Processing, Programming Languages / Python, Computer Vision & Pattern Recognition
Publication Year: 2022
Type: Textbook
Item Weight: 51 Oz
Item Length: 9.1 in
Author: Aurélien Géron
Subject Area: Computers
Item Width: 7.6 in
Format: Trade Paperback
