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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

Choosing and configuring algorithms

Choosing the right models and tuning the parameters for the model are at the core of AI application development. In most cases, there are several algorithms that are applicable to the task, and it may not be clear from the beginning which algorithm will perform best. For example, some algorithms might perform better for small datasets, while others excel on big data. Usually, there are also other constraints to think about, such as runtime or the amount of computational resources available. The best model is the one that achieves a sufficient level of accuracy with the minimum amount of computational resources.

The first step when solving an ML problem is to identify which family of algorithms should be ...

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Publisher Resources

ISBN: 9781789131956Supplemental Content