You're reading from Machine Learning with Go Quick Start Guide

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Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781838550356

Edition1st Edition

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Machine Learning

Authors (2):

Michael Bironneau

Toby Coleman

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Typical stages in a ML project

As we have seen throughout this book, ML is highly dependent on the data that is used for training and testing. For this reason, we find it helpful to view a typical project through the stages in the following diagram, which comes from the Cross Industry Standard Process for Data Mining (CRISP-DM), a popular method for managing data science projects^[3]:

In contrast to some other engineering systems, ML normally never produces perfect output, so, for this reason, projects are often iterative. Refinements to the datasets and models allow you to produce progressively better results, provided they are justified by your business needs.

Business and data understanding

Having decided to use ML, a crucial...

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Machine Learning with Go Quick Start Guide

Published in: May 2019Publisher: PacktISBN-13: 9781838550356

Authors (2)

Michael Bironneau

Michael Bironneau is an award-winning mathematician and experienced software engineer. He holds a PhD in mathematics from Loughborough University and has worked in several data science and software development roles. He is currently technical director of the energy AI technology company, Open Energi.
Read more about Michael Bironneau

Toby Coleman

Toby Coleman is an experienced data science and machine learning practitioner. Following degrees from Cambridge University and Imperial College London, he has worked on the application of data science techniques in the banking and energy sectors. Recently, he held the position of innovation director at cleantech SME Open Energi, and currently provides machine learning consultancy to start-up businesses.
Read more about Toby Coleman

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