In this, the final show of our Deep Learning Indaba series, we speak with Vukosi Marivate, Chair of Data Science at the University of Pretoria and a co-organizer of the Indaba. My conversation with Vukosi fell into two distinct parts. …

Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193 [PODCAST] Read more »

This article originally appeared on 'The Global Scientist' [Evernote Mirror] Imagine trying to teach a machine how to play chess. There are numerous small steps to teach; strategies to start the game, strategies to play the middle of the game and …

Making Decisions in highly uncertain scenarios: Challenges in Healthcare and Education Read more »

Very interesting (to me at least) hack to check what happens when you approximate an infrequent process, to a periodic one. Click on the image to find out more.   Check out the Ipython Notebook for this hack http://nbviewer.ipython.org/5845621

Wow, already at Part III. I already covered why one would want to find influential people in a social network in Part I. I discussed what the data I am analyzing is and how it was collected from twitter in Part II. …

Finding the Influentials: Part 3 - How do you Influence? Read more »

Having given an overview of why we would want to find influential people on Twitter or a social network in Part I, now we move on to more data on the Intersexions dataset. Mainly: What the data is and how …

Finding the influentials: Part 2 - The Twitter Beast Read more »