Book Name: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition
Author: Aurélien Géron
Publisher: O’Reilly Media
File format: PDF
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition Pdf Book Description:
Through a collection of recent discoveries, profound learning has fostered the whole area of machine learning. Now, even developers who know near nothing about this tech may use easy, efficient instruments to execute applications capable of learning from information. Using concrete examples, minimum concept, and also two production-ready Python frameworks–Scikit-Learn and TensorFlow–writer Aurélien Géron makes it possible to get an intuitive comprehension of the concepts and resources for constructing intelligent systems. You will learn a selection of techniques, beginning with simple linear regression and progressing to profound neural networks. With exercises in each chapter that will assist you apply what you’ve discovered, all you will need is programming expertise to begin.
Research the system learning landscape, especially neural nets
Utilize Scikit-Learn to monitor an illustration machine-learning project end-to-end
Utilize the TensorFlow library to Construct and train neural nets
Encounter neural net architectures, such as convolutional nets, recurrent nets, and deep reinforcement learning
Learn methods for scaling and training deep neural nets
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