BENHALS.GITHUB.IO

As a machine learning researcher my passion is developing innovative solutions to difficult problems which deliver world-changing value. With experience in both industry and academia, I have the skills to develop and implement cutting edge, production ready solutions by combining deep R&D and software engineering expertise. For my PhD research I developed fundamental algorithms for real-time reactive systems capable of handling changes in the distribution of streaming data. In my professional career I have developed and deployed state-of-the-art approaches to a range of applied problems, including streaming sensor data, satellite powered predictive systems and NLP analysis... A growing amount of data now comes from streaming data sources, where new data is collected and added in real time, rather than traditional data sets. For example, collecting air quality data in real-time from a network of sensors, or nearly all online businesses which collect information. Traditional machine..