You're reading from Machine Learning for Developers

Product typeBook

Published inOct 2017

Reading LevelBeginner

PublisherPackt

ISBN-139781786469878

Edition1st Edition

Languages

Python

Tools

SciPy Scikit-learn

Concepts

Machine Learning

Authors (2):

Rodolfo Bonnin

Md Mahmudul Hasan

View More author details

Summary

In this chapter, we worked through many different conceptual elements, including an overview of some basic mathematical concepts, which serve as a base for the machine learning concepts.

These concepts will be useful when we formally explain the mechanisms of the different modeling methods, and we encourage you to improve your understanding of them as much as possible, before and while reading the chapters, to better grasp how the algorithm works.

In the next chapter, we will have a quick overview of the the the complete workflow of a machine learning project, which will help us to understand the various elements involved, from data gathering to result evaluation.

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Machine Learning for Developers

Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878

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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.
Read more about Rodolfo Bonnin

Md Mahmudul Hasan

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