Different people learn different things in different ways. Some people learn by listening to lectures and teachers, some by reading and self-study, and some by either doing or trying out things for themselves or in an apprenticeship sort of a setting.
Children mostly learn by either listening or doing things…
Amazon.com swears by “Working Backwards” as a tenet. And it is an excellent tenet that has worked well for the company. The work culture is such that even all of its employees adhere to it as a principle.
Working at Amazon, I, too, got to learn the benefits of this…
I recently watched this talk by Zachary Lipton. The talk is two years old but still relevant, important, and informative.
Here are few things that stuck out for me on this matter -
In many Machine Learning or Data Science workflows, it is common to save and checkpoint several models and compare how they perform on a held-out validation dataset. These saved models could be -
In this post, I will share a few of my thoughts on explainability in AI/ML.
These situations ought to explain why explainability in AI is important.