Understanding and being able to justify what your machine learning model has learned is very important.

In this post, I cover :

• understanding model by their weights
• understanding how individiual feature interact through partial dependency plots
• justifying individual predictions using Shap and Lime

Google Cloud had their annul conference in April this year in San Francisco. There were a lot of cool announcements.

Here is my list of announcements that I am excited for.