2016/11/08 – 2016/11/08
141 Catherine St.
Machine Learning, a method of teaching computers to learn and make predictions based on data without being explicitly programmed, is a core part of predictive analytics and key technologies like image recognition, self-driving cars, unsupervised data analytics and search / recommendation engines.
Featured in more MOOC’s than you can shake a stick at, machine learning is taking off – and Python has one of the top ML ecosystems around!
Chris will present an introductory primer on machine learning using Python’s Scikit-Learn and Gensim. Code and examples included!
Chris Allison is currently a Senior Coordinator at the Treasury Board Secretariat, managing the amazing GC2.0 Tools team and the Government of Canada’s collaborative platforms – GCpedia and GCconnex.
Chris has reverse mentored three Deputy Ministers on innovation and technology on the Deputy Minister Committee on Policy Innovation and acted as a catalyst for change across his organizations – driving innovation in policy thinking, service delivery, information management and collaboration. An avid Python developer, he has built web apps, event simulations, conducted social network analysis, graphed and analyzed social media, analyzed big data with Spark, built machine learning classifiers and used natural language analysis to directly improve his organizations.
Chris is, above all, a storyteller – bringing data, business experience, curiosity and play together into a single narrative.
Members: free, included in your annual dues