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You're reading from  Machine Learning for Developers

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781786469878
Edition1st Edition
Languages
Python
Tools
SciPyScikit-learn
Concepts
Machine Learning
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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.
Read more about Rodolfo Bonnin

Md Mahmudul Hasan
Md Mahmudul Hasan
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Md Mahmudul Hasan


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Model fitting and evaluation

In this part of the machine learning process, we have the model and data ready, and we proceed to train and validate our model.

Dataset partitioning

At the time of training the models, we usually partition all the provided data into three sets: the training set, which will actually be used to adjust the parameters of the models; the validation set, which will be used to compare alternative models applied to that data (it can be ignored if we have just one model and architecture in mind); and the test set, which will be used to measure the accuracy of the chosen model. The proportions of these partitions are normally 70/20/10.

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Machine Learning for Developers
Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878
© 2017 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
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

author image
Md Mahmudul Hasan


Read more about Md Mahmudul Hasan

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