Dataro Tech Explainer: Model Training and Validation

Dave Lyndon

Dataro CTO Dave Lyndon answers a common questions in fundraising tech - "How are Machine Learning models trained and validated?"

JOIN THE WEBINAR: https://us02web.zoom.us/j/82845602068?pwd=ckFxWG5GTVc1L1l3U25BQ2RjcEpPUT09Welcome to our next instalment in the Dataro Tech Explainer series with Dataro CTO, Dave Lyndon.In the previous two Tech Explainer sessions we&#x27;ve looked at the inner workings of linear and tree-based Machine Learning (ML) models. In this session we explore a topic of critical importance in ML - how to train and validate models in such a way that we can be certain that they will predict accurately &#x27;in the wild&#x27;. This talk will touch on a number of practical techniques employed at Dataro including: <ul><li>evaluation metrics</li><li>validation strategies</li><li>sliding and expanding windows</li><li>model selection</li><li>feature engineering</li></ul>Not to be missed if you have been following the previous talks, but also a great session to join in on if you are new to the Tech Explainer series.

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Dataro Tech Explainer: Model Training and Validation

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Dataro Tech Explainer: Model Training and Validation

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