HamOnt ML

HamOnt ML builds machine learning community

 

Hamilton’s first ever machine learning conference took place this weekend. The event was excellent for a bunch of reasons.

Strong mix of industry, government and academia talks. We had leaders from industry, government, academia represented in the talk and panel line-up, and it manifested itself in some great connections, between industry and academia in particular!

It sold out, completely. We’ve been doing conferences on topics that we knew there was a local market for, in the case of topics like JavaScript and User Experience. But for a topic that’s a little more “emerging” in terms of prevalence in local industry, we were blown away by the response for this one.

40% of the attendees were McMaster students. McMaster students can be a very tough audience to pull out to off-campus, Hamilton-branded events. Students call it the “McMaster bubble” (there’s even a Pop the Bubble initiative). But they showed up in large numbers, I guess if you built it right they will come. I was talking to a bunch students afterwards that were very happy to see this type of a topic and talk line-up in Hamilton.

The mayor showed up! Yes, that’s him in the photo! Fred Eisenberger (@fredeisenberger) came by and said a few words at the start in support of the community, and recognizing the willingness of Hamiltonians to collaborate as a community strength. It was great to see support from the mayor for something in the community at the grassroots level.

Andrew Holden at Weever Apps and myself started up this conference series last year, with different leaders in the community organizing each topic (@dpetican, @megthesmith, @eimaj, @kensills). It’ll be continuing next year, details on event dates posted early next year.

 

 

Rory Woods added to HamOnt ML speaker line-up

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is less than one week away and the line-up is just about finalized (only 15 tickets remain).¬† Check out this talk we’ve added by Rory Woods!

 

Rory Woods

Lead Data Scientist, Preteckt

Talk: The Data Science Loop

Bio: Rory is the lead data scientist at Preteckt. Over the past two years he has helped to grow the Preteckt data science team into a collaborative and effective branch of the company. Rory and his team have been intensely analyzing automotive data from a variety of sources from clients across North America to offer accessible solutions for predictive maintenance. He received his PhD in computational astrophysics from McMaster University in 2015 and made the transition to data science soon after.

 

Carolyn Chong added to HamOnt ML talk line-up

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is only one week away and the line-up is just about finalized (only 20 tickets remain).¬† Check out this talk we’ve added by Carolyn Chong (@carolynechong)!

 

Carolyn Chong

VP Product, Obie.ai

Talk: Applications of Machine Learning in the Workplace

Bio: Carolyn Chong leads the product at Obie.ai, a software startup based in Hamilton. At Obie, she works with the engineering team to leverage machine learning to deliver relevant answers to common team questions. Carolyn is passionate about the technology behind conversational interfaces and delighting users through the power of words. Born and bred in Hamilton, Carolyn graduated from the Arts & Science Program at McMaster University with a Combined Honours in Computer Science.

 

Rong Zheng added to HamOnt ML speaker line-up

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is only a couple weeks away now and more speakers are being added to the line-up each day – check out this opening keynote talk from Dr. Rong Zheng!

 

Rong Zheng

Professor, McMaster University

Mobile computing and machine learning: A happy marriage?

Significant progress has been made in recent years in applying machine learning in various applications. Today, predominantly, training of machine learning models and execution of inference tasks are done in the cloud due to the limited computation and storage capacity of mobile devices. However, such approaches are inadequate for latency sensitive tasks such as augmented reality and self-driven vehicles, or are too onerous when a large amount of data needs to be transferred over cellular data networks. In this talk, I will discuss ongoing projects in the Wireless System Research Group at McMaster university that develop machine learning algorithms for mobile applications and our efforts to make machine learning more amiable for mobile computing platforms.

Bio: Rong Zheng earned her Ph.D. degree from Dept. of Computer Science, University of Illinois at Urbana-Champaign. She is now an Associate Professor in the Dept. of Computing and Software, an associate member of the Dept. of Electrical and Computer Engr., and a member of the School of Computational Science and Engineering in McMaster University, Canada. Rong Zheng is a Joseph Ip Distinguished Engineering Fellow. She is a steering committe member of the MacData institute, which promotes collaboration among centers and researchers whose work involves different facets of data. Rong Zheng is also a principle investigator of the Computing Infrastructure Research Centre (CIRC).

Rong Zheng’s research interests include Cyber Physical Systems, mobile computing and networked systems. She received the National Science Foundation CAREER Award in 2006. Her research team has won many awards including the best paper award in IEEE Wireless Communications and Networking Conference, the best demo award from Cyber Physical Week 2015, and the first prize in infrastructure-less category in Microsoft Indoor Localization Competition in 2017.

 

Mike Branch added to HamOnt ML speaker line-up

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is only a couple weeks away now and more speakers are being added to the line-up each day – check out this talk from Mike Branch VP of Business Intelligence at Geotab!

 

Mike Branch

Vice President of Business Intelligence, Geotab

Talk: Open Data, Machine Learning, and the Connected Car

Bio:¬†Mike Branch is the Vice President of Business Intelligence at Geotab and leads the charge for developing solutions that enable insight from the over 2 billion telematics records that Geotab processes on a daily basis.¬† Mike joined the Geotab team in 2016, and prior to that was the CEO of Inovex Inc. — a software development company he founded in 2003 with expertise in the healthcare and energy sectors. Branch also served as president of the University of Toronto Engineering Alumni Association, currently serves on the board of Hillfield Strathallan College, and is past chair of the board for Streetwise Actors.¬† Branch has been honoured with the University of Toronto Arbor Award and Early Career Award, Professional Engineers of Ontario Engineering Medal, Engineers Canada Young Engineer Award, and has been inducted into Hillfield Strathallan College’s Hall of Excellence.

 

HamOnt ML adds talk from Jared Smith

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is only a few weeks away now and more speakers are being added to the line-up each day – check out this talk from Jared Smith who’s flying in from¬†Oak Ridge National Laboratory!

 

Jared Smith

Cyber Security Research Scientist, Oak Ridge National Laboratory

Talk: Beyond the Hype: Real Applications of Machine Learning in Security

Bio: From the foothills of Great Smokey Mountains, Jared is a Cyber Security Research Scientist at Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest R&D laboratory, where he leads and collaborates on several R&D projects focused on securing modern computer networks, energy delivery systems, and vehicles. Pursuing a PhD in Computer Science while at ORNL, Jared is a Chancellor’s Graduate Fellow at the University of Tennessee, Knoxville, where his research focuses on Internet infrastructure resiliency and privacy-preserving methods of communication. Jared teaches data science, DevOps, and security at Treehouse and consults for both Fortune 50 companies and emerging Knoxville startups. Previously, Jared interned at ORNL and on the product security team at Cisco Systems, leveraged supercomputers and machine learning to discover IP risks in the patent ecosystem, and analyzed subatomic particle collisions produced from the Large Hadron Collider in CERN.

 

Aaron Maxwell talk added to HamOnt ML

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King at 115 King Street East (3rd floor), Hamilton, ON

Cost: $20 regular, $10 student

Register: eventbrite.ca/e/hamont-ml-tickets-38294716528

 

HamOnt ML is only a few weeks away now and more speakers are being added to the line-up each day – check out this talk from Aaron Maxwell!

 

Aaron Maxwell

Data Scientist, Paladin:Paradigm

Talk: Anomalous Flight Detection: Using Unsupervised Machine Learning Methods

Bio: Aaron has spent the last nine months working as a data scientist at Paladin:Paradigm, where he helps to use machine learning to build an artificial intelligence engine that can improve the way airline pilots are trained throughout the world. Prior to this, he spent six months as an intern at the Council of Canadian Academies using his skills in data analysis and visualization to help craft a report on the state of Canadian Science and Technology and Industrial Research and Development. He’s a passionate science communicator, and an ex-astronomer, receiving his doctorate from McMaster University in 2015.

 

HamOnt ML on Saturday December 2nd

 

When: Saturday December 2nd 2017 from 10:00am to 5:00pm

Where: CoMotion On King – 115 King Street East (3rd floor), Hamilton, ON

 

 

The HamOnt conference series continues with HamOnt ML on Saturday December 2nd!

HamOnt ML is the first ever machine learning conference in Hamilton… low cost and kick ass, featuring experts from within and abroad for a full day of talks… we would love for you to join us on Saturday December 2nd!

Check out the initial list of talks below – more details to be filled in on the ticket page in the coming weeks! HamOnt ML attendees can also expect morning coffee & snacks, lunch, afternoon drinks & snacks, and an after party!

Tickets are just $20 regular, and $10 for students.

 

Speakers

 

We’ll be adding more details on the speaker line-up as we get closer to the date! ¬†But in the meantime, expect to hear talks from…