Comet recently hosted the online panel, “How do top AI researchers from Google, Stanford and Hugging Face approach new ML problems?” This…

Although every machine learning project is different, there are common pitfalls and challenges that machine learning teams face when building and training models, and then taking them into production. Many of these challenges can be addressed when taken into consideration upfront, such as understanding the end goal, as well as the limitations that will be faced in your production environment.

One of the hardest parts of machine learning is simply getting started. See how top AI researchers are address this problem.