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Hands-On Machine Learning with Azure
book

Hands-On Machine Learning with Azure

by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Ryan Murphy
October 2018
Intermediate to advanced content levelIntermediate to advanced
340 pages
7h 56m
English
Packt Publishing
Content preview from Hands-On Machine Learning with Azure

Importing and preprocessing data

As already discussed, Azure ML Studio is a complete ML tool that takes care of every step in the ML model development process. The only input needed is a raw dataset in a format understood by ML Studio; if the original data format is not recognized, then a file conversion is required, using either an external tool or the custom script modules in ML Studio. For raw files, the data formats currently recognized by ML Studio are CSV, TSV, ARFF, SvmLight, and R objects. Datasets can also be saved in zipped format to save storage space and bandwidth.

Datasets can be imported to ML Studio in two ways: by uploading a local file from the user's computer, or using cloud storage in Azure. To import data from your local ...

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Publisher Resources

ISBN: 9781789131956Supplemental Content