What we're about

Machine Learning & Artificial Intelligence has a wide variety of exciting applications. Come explore these applications and collectively improve and grow with like minded people. Join us for our monthly meetings where we discuss a variety of topics and methods for teaching machines how to think and improve.

Group communication policies:

At ML and AI Ottawa we strive to put on the best events possible in an inclusive and welcoming environment. As we have grown we thought it wise to set out some core principles that we will use to guide the group into the future.

1) No SPAM - we promise the only notifications you will receive will be about the events you sign up for. If you don't even want these you can change your communication settings on meetup.com

2) Discussion boards - these are for discussion only. Recruiting is restricted to sponsors of the events. All sponsors job postings are restricted to machine learning/AI job postings. No general recruiting.

3) The events are run by volunteers. Our goal is to put on great events. Please be understanding if we take a bit of time responding - this isn't our job.

4) Privacy. We don't want your personal information. We don't keep your personal information. If any personal information is collected (ie. email addresses for a draw) we delete the information on completion of the draw. We only use it for the purpose it was gathered for which will be communicated transparently in the collection.

5) Think something else should be included here? Let us know :)

Upcoming events (2)

Designing and Deploying a Machine Learning Model for NetFlow Classification

Abstract: Interset uses machine learning and anomaly detection to identify cyber attacks, and its AI engine is in use by large companies and government agencies and even embedded by seven other companies in their products. A lot has happened over the last five years of Interset’s AI journey, where Interset has grown from a small 10-person Bells Corners startup to an over 70-person organization with offices in Ottawa and California. In this presentation, Maria Pospelova, a leading data scientist, will illustrate the EDA process of the model development in Interset on NetFlow tunneling detection model. As the creator of this new tunneling detection method, she will discuss the development process and the machine learning algorithms used. Maria will walk through the science behind a unique automatic NetFlow classification method that can autonomously determine traffic is HTTP(S), SSH or DNS, without explicit information from interim hardware routers. She will showcase the model’s performance against known intrusion detection dataset and explain why this type of automatic classification can dramatically improve accuracy with fewer resources than existing solutions, while simultaneously protecting privacy. This presentation will: - Introduce Interset and the problems we solve in the cybersecurity space - Detail the process by which this new tunneling detection method was developed - Demonstrate the method’s accuracy against an intrusion data set Biography: Maria Pospelova is a Sr. Data Scientist at Interset, an AI security analytics company, and co-author of “Automatic, On-Line Tuning of YARN Container Memory and CPU Parameters.” With deep expertise in big data, analytics and data science, she takes an active role in the development and innovation of Interset’s technology, which leverages the Hortonworks Hadoop platform as part of its big data architecture. Her responsibilities include modeling, data exploration, data analysis and research, and helping customers extract the most value out of the solution. Prior to Interset, Maria worked on machine learning solutions for big data problems at Carleton University’s Parallel Computing Research Lab. Prior to Carleton University, she worked at Bedarra Research Labs on an Interactive Collaborative Analytics Environment product, where had an opportunity to experience both front end and back end development. Maria holds a Bachelor’s Degree in Computer Science Honors with High Distinction and a Master’s Degree in Computer Science with a specialization in Data Science. Agenda: 6:30 Arrival & Networking 7:10 Approx start of talk 8:00-8:30 Post talk networking & discussion

ML and AI in the Browser

Invest Ottawa

*** NOTE: This talk is on a Tuesday and not on our regular Mondays. *** Abstract: This talk aims to show people an entry point into writing and using AI/ML in the browser using some newer technologies, and how these powerful tools can be harness to help with development, accessibility, personalization, and interactivity on the web. Bio: Keyfer Mathewson is currently a Senior Front End Developer working for Shopify, from his home in Edmonton, Canada. Before Shopify, Keyfer worked for a small Canadian design agency leading a team of developers building award-winning websites. When he's not in front of his computer, you can find Keyfer hiking with his fiance and puppy, playing hockey, or playing video games. Agenda: 6:30 Arrival & Networking 7:10 Approx start of talk 8:00-8:30 Post talk networking & discussion

Past events (34)

Photos (28)

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