Machine Learning Techniques

New Media Manitoba (NMM), is a non-profit association of professionals that advocate and provide focused training, support and guidance to the new media business and interactive digital media community.

New Media Manitoba

Having a conversation with a machine is no longer a figment of our imagination or science fiction. We are having intelligent conversations with machines every day. AI (Artificial Intelligence) or Machine Learning techniques have made this reality possible. 
The personal assistant in your smartphone, video games, and the marketing industry have been all using Machine Learning to analyze and predict the actions of their clients for a long time now. The ultimate goal of machine learning is to predict something based on pre-existing conditions. Sometimes this prediction is as easy as answering a question with yes or no, but sometimes the prediction could be as complicated as identifying the model and manufacturer of an airplane flying 36,000 feet above our heads.
<A HREF="http://www.newmediamanitoba.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">New Media Manitoba</A>, <A HREF="http://www.rrc.ca/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Red River College</A> and <A HREF="http://blogs.rrc.ca/informationsystems/ace-project-space/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">The Ace Project Space</A> are happy to present this informative Lunch+Learn that will try to explain some of the techniques used in machine learning. 
Learning Outcomes
<UL>
<LI>The History of AI</LI>
<LI>Common themes of machine learning techniques</LI>
<LI>What the future of AI and machine learning look like</LI>
<LI>AI and Machine Learning training opportunities at RRC</LI>
<LI>Questions and answers.</LI>
</UL>
An hour will not make anybody an expert in machine learning. By the end of this session however, you will have an appreciation for the subject and be able to identify where machine learning can create solutions to problems that might seem to be impossible to be solved otherwise. 
When: October 20th | 12pm Where: Red River College, RM P107 Cost: Free, Light lunch provided 
Instructor Bio
Haider Al-Saidi is the Chair of Applied Computer Education at Red River College. Haider is a Senior member of the Institute of Electrical and Electronic Engineers (IEEE) and serves as Chair of the Business Technology Management Accreditation Counsel. From 1993 until 2000, Haider led the development team of ICUCOM Corporation in Troy, New York, which was then acquired by Applied Wave Research in El Segundo, California, where he worked until 2002. Haider then joined Assiniboine Community College in 2002, working with others to develop their Wireless Communication Engineering Technology program. The same year, he started Tiacomm, an IT startup company. Haider’s current interests are in areas of adaptive systems and machine learning. He started working in this field while at ICUCOM Corporation when he developed algorithms to solve the multipath phenomenon using decision feedback equalization. He also used algorithms that he developed for antenna arrays.

Red River College | Great West Lecture Theatre (RM A104 )

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Machine Learning Techniques

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