While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

A better lesson

Rodney Brooks

"So my take on Rich Sutton’s piece is that the lesson we should learn from the last seventy years of AI research is not at all that we should just use more computation and that always wins. "

Read it!

How much data should you allocate to training and validation?

Francesco Pochetti

To avoid responding with "that's what Andrew NG said" when asked about the reason behind choosing an 80% training and 20% validation split, consider this explanation.

Read it!

Effective testing for machine learning systems.

Jeremy Jordan

"Effective testing for machine learning systems requires both a traditional software testing suite (for model development infrastructure) and a model testing suite (for trained models)."

Read it!