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You're reading from  Machine Learning for Developers

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781786469878
Edition1st Edition
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Authors (2):
Rodolfo Bonnin
Rodolfo Bonnin
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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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Regression analysis

This chapter will begin with an explanation of the general principles. So, let's ask the fundamental question: what's regression?

Before all considerations, regression is basically a statistical process. As we saw in the introductory section, regression will involve a set of data that has some particular probability distribution. In summary, we have a population of data that we need to characterize.

And what elements are we looking for in particular, in the case of regression? We want to determine the relationship between an independent variable and a dependent variable that optimally adjusts to the provided data. When we find such a function between the described variables, it will be called the regression function.

There are a large number of function types available to help us model our current data, the most common example being the linear, polynomial...

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Machine Learning for Developers
Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878

Authors (2)

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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