Download | The Essential Guide to Training Data for ML

Learn how to create the training data necessary to drive successful ML projects.

The Essential Guide to Training Data Best practices for creating training data for ML projects   There's a saying: "Garbage in, garbage out." It's common knowledge that every machine learning solution needs a good algorithm powering it, but what gets far less press is what actually goes into these algorithms: the training data itself. Your model is only as good as the data it's trained on. Pulling from over 20 years of experience, we break down how to approach training data, starting with raw data and annotating and labeling it so that it can be used to power the most ambitious projects. In the Essential Guide to Training Data we cover everything you need to know about creating the training data necessary to drive successful machine learning projects, including: Why having a lot of big data isn't the same as having labeled data How to determine which labels to use to evaluate your success Where to find some great open datasets to bootstrap your model Download ebook   When your goal is to launch world - class AI, Appen's reliable training data gives you the confidence to deploy.   Follow Us   © 2020 Appen Limited | 9 Help Street | Level 6 | Chatswood | NSW | 2067 | Australia

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