Implementing AutoML Techniques at Salesforce Scale Matthew Tovbin (Salesforce) from ml model evaluation Watch Video
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Description: Building efficient machine learning applications is not a simple task. The typical engineering process is an iteration of data wrangling, feature generation, model selection, hyperparameter tuning and evaluation. The amount of possible variations of input features, algorithms and parameters makes it too complex to perform efficiently even by experts. Automating this process is especially important when building machine learning applications for thousands of customers.nnIn this talk I demonstrate
Play Video: (Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)