Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks

<div class="wp-block-jetpack-markdown"><h2>Preamble</h2> <p>This is a <a href="https://www.themachinelearningpodcast.com/wrap-your-model-in-a-full-stack-application-in-an-afternoon-with-baseten/?utm_source=rss&utm_medium=rss" target="_blank" rel="noopener">cross-over episode</a> from our new show <a href="https://www.themachinelearningpodcast.com?utm_source=rss&utm_medium=rss" target="_blank" rel="noopener">The Machine Learning Podcast</a>, the show about going from idea to production with machine learning.</p> <h2>Summary</h2> <p>Machine learning has the potential to transform industries and revolutionize business capabilities, but only if the models are reliable and robust. Because of the fundamental probabilistic nature of machine learning techniques it can be challenging to test and validate the generated models. The team at Deepchecks understands the widespread need to easily and repeatably check and verify the outputs of machine learning models and the complexity involved in m...