Siraj Raval asks 67 questions of Pieter Abbeel, who got his PhD at Stanford University under the mentorship of Andrew Ng and went on to become a professor at UC Berkeley.

He’s worked at OpenAI, Willow Garage and now Embodied Intelligence.Drawing on recent advances in Deep Imitation Learning and Deep Reinforcement Learning, Embodied Intelligence is developing AI software that makes it easy to teach robots new, complex skills.

I first heard of Ripple while watching Bloomberg TV, where the CEO of the company was touting the cryptocurrency and its rapid acceptance by the financial establishment. That made me wonder: how could a company “own” a cryptocurrency? Wouldn’t that make it centralized? Isn’t that antithetical to cyrptocurrencies?

Fortunately, Siraj Raval comes to the rescue with a great explainer video on Ripple

Not long ago, I thought that my days writing research papers were behind me. Since getting into data science, that seems like a faulty assumption. While the field has definitely left the academic sphere and taken off in the public and commercial space, the field still has a heavy accent on academia. There are even data science conferences that require a paper be published before you can submit a talk.

Fortunately for me, Siraj Raval share his tips on how to write a research paper.

Since I started doing Data Science a few years ago, I have used more advanced mathematics than I ever thought I would have. And, as I take the DeepLearning.ai classes, that use of mathematics has accelerated.

Given that the math side of Data Science and AI is not going away any time soon, it’s probably best to get good at it.

Fortunately, for all of us Siraj Raval explains how to read math equations in a way that only he can: quickly and awesomely.

Siraj Raval has a great talk on genetic algorithms and neuroevolutionary strategies offer us a way to replicate the process of natural selection en silico.  (Bonus points for the Latin usage, Siraj!)

Google already uses self-creating AI as part of its AutoML service that finds the best model for customers.