Bibliograph

Hands-on machine learning with Scikit-Learn and TensorFlow, concepts, tools, and techniques to build intelligent systems, Aurélien Géron

Type

Label

Hands-on machine learning with Scikit-Learn and TensorFlow, concepts, tools, and techniques to build intelligent systems, Aurélien Géron

Language

eng

Illustrations

illustrations

Index

index present

Literary Form

non fiction

Main title

Hands-on machine learning with Scikit-Learn and TensorFlow

Oclc number

953432302

Responsibility statement

Aurélien Géron

Sub title

concepts, tools, and techniques to build intelligent systems

Summary

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

Table Of Contents

The fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures

Classification