In September, we had the pleasure of welcoming Zack Akil, and Eyal Kazin to the PyData Meetup.
Zack Akil on “Shooting Hoops with Keras and TensorFlow”
I’ll show you how I turned being bad at shooting b-ball outside of the school into a multi neural network based mobile application that does real time analysis of my limited basketball skills.
Eyal Kazin on “Protein Design by Multi-Objective Optimisation”
When optimising for multiple factors, a common practice is to reduce the problem to 1D, which, because of the limited search space, is likely to result in a suboptimal solution. In Multi-Objective Optimisation we consider a set of trade-off solutions, called the Pareto Front, as the optimal set, and by so explore a multi-dimensional space, where we are more likely to find improved solutions. Motivated by the challenge to empirically navigate the vast DNA combinatorial sequence space to discover therapeutic proteins, I discuss Pareto Front optimisation using Evolutionary Algorithms. In particular, I highlight DEAP, a Python platform for prototyping.
Diego Arenas on “Automated Exploratory Data Analysis on Databases”