Super DataScience podcast

I am working my way through the Udemy data science course “Machine Learning A-Z” by Kirill Eremenko and Hadelin de Ponteves. The course steps through key machine learning algorithms and approaches using Python and R. As an R programmer, it’s great to compare to the Python code and learn it’s syntax. From my nascent observations, it takes fewer lines to code an approach with R compared to Python.

Kirill and Hadelin are clear communicators. They break-down complex information, guiding the viewer with palatable bite-sized chucks of information. I was so impressed that I sent Kirill a thank you on Udemy. Kirill responded, we added each other on LinkedIn, then he invited me as a guest on his podcast at Super DataScience!

My episode can be found here, here and here. Three links, same episode - Woo!

Thanks to Kirill for having me as a guest and giving me an excuse to talk about neuroscience – something I haven’t done for the past three years. The dorsal lateral prefrontal cortex got a mention :)