This course on Deep Learning will explain how to build systems that learn and adapt using real-world applications. Some of the topics to be covered include deep learning frameworks, convolutional neural networks, generative models nadrecurrent models. The course will be project-oriented, with emphasis placed on writing software implementations of learning algorithms applied to real-world problems, in particular, image analysis, image captioning, natural language pocessing, sentiment detection, among others.

Short course teaching the basics of Machine Learning for Risk Management (Mostly towards retail banking)

Version 2 – 8 Hours – February 2018 

Version 1 –  16 Hours – October 2016

Tutorial given at Pycon 2017 and 2018.

Course on machine learning. Mostly focused towards the application of machine learning algorithms in several real-world applications.