A 101 to Machine Learning using Python

The IEEE Ottawa CS Chapter, IEEE Ottawa ComSoc/CESoc/BTS Joint Chapter, IEEE Ottawa TMC, PCS, and SSIT Joint Chapter, and IEEE Ottawa AICN are inviting all interested IEEE members and other engineers, technologists, and students to another Lunch and Learn in the heart of the Kanata Tech Hub.

SEMINAR: A 101 to Machine Learning using Python
SPEAKER: Chris Allison (Senior Coordinator, GC2.0 Tools at Treasury Board of Canada Secretariat)

DATE: June 6th, 2017
TIME: Refreshments, Lunch, and Networking: 11:00 a.m.; Seminar: 11:00 p.m. – 01:30 p.m.
PLACE: The Marshes Golf Club, 320 Terry Fox Drive, Kanata
PARKING: Free parking available.
ADMISSION: Open to all, free of charge. Registration is required.
EVENT SITE: http://ewh.ieee.org/r7/ottawa/lunchandlearn/
EVENT REGISTRATION: https://www.eventbrite.ca/e/ieee-ottawa-lunch-and-learn-presents-a-101-to-machine-learning-using-python-by-chris-allison-senior-tickets-34392570103

As a driven, passionate and creative leader and change agent, Chris Allison’s career, skills and experiences span across public service, private interests and personal goals. Chris’ goal is to reimagine and revitalize the public service – transforming it into an organization that can meet and exceed the needs and expectations of Canadians. Over the past 15 years Chris has worked on immigration enforcement, investigated war crimes, patrolled Toronto with the Toronto Police Service, conducted surveillance and counter smuggling activities with as an RCMP officer, participated in public relations duties in Japan, managed national security activities with the Canada Border Services Agency, developed legislation, regulations and policy on import, export and cross-border law enforcement operations, contributed to the re-writing of the Immigration and Refugee Protection Act, created and lead a community of passionate managers in Public Safety Canada, worked to improve the traveler experience with the CBSA and currently lead the Government of Canada’s enterprise social network and wiki – working to build a single, collaborative and high performing public service to better serve Canadians. Driven and imaginative, Chris has reverse mentored three Deputy Ministers on innovation and technology on the Deputy Minister Committee on Policy Innovation, reimagined and built new ways to improve the traveler experience and acted as a catalyst for change – driving innovation in policy thinking, service delivery, information management and collaboration. An avid Python developer, Chris 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. As per his Twitter bio, Chris is focused on GoC leadership, community, culture, creativity and innovation. He is a geek, gamer, Python developer and storyteller.

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 Allison will present an introductory primer on machine learning using Python’s Scikit-Learn and Gensim. Code and examples included!

THANK YOU TO OUR PATRONS for making this event possible
March Networks (https://www.marchnetworks.com/)
Kanata North BIA (https://www.kanatanorthbia.ca/)
Invest Ottawa (https://www.investottawa.ca/)
you.i tv (http://www.youi.tv/)
Smart & Biggar (http://www.smart-biggar.ca/en/index.cfm)
Carleton University, Faculty of Engineering and Design (http://carleton.ca/engineering-design/)
University of Ottawa, Faculty of Engineering (http://engineering.uottawa.ca/)
The Marshes Golf Club (http://www.marshesgolfclub.com/index.php)

Eric Karmouch, Ph.D., SMIEEE
Chair, IEEE Ottawa Computer Society (http://sites.ieee.org/ottawa-cs/)
Chair, IEEE Ottawa Lunch and Learn (http://ewh.ieee.org/r7/ottawa/lunchandlearn/)

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