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Machine Learning for Developers

You're reading from Machine Learning for Developers

Product type Book

Published in Oct 2017

Publisher Packt

ISBN-13 9781786469878

Pages 270 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Rodolfo Bonnin

Md Mahmudul Hasan

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Table of Contents (10) Chapters

Preface

Introduction - Machine Learning and Statistical Science

The Learning Process

Clustering

Linear and Logistic Regression

Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

Recent Models and Developments

Software Installation and Configuration

Summary

In this chapter, we reviewed all the main steps involved in a machine learning process. We will be, indirectly, using them throughout the book, and we hope they help you structure your future work too.

In the next chapter, we will review the programming languages and frameworks that we will be using to solve all our machine learning problems and become proficient with them before starting with the projects.

The rest of the chapter is locked

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Authors (2)

Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.

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Md Mahmudul Hasan

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