A community of eningeers, researchers, students, and enthusiasts working to advance the knowledge and application of machine learning science.
Chicago ML hosts meetups, workshops, and symposiums to support learners and experts alike. We are an all-volunteer organization and rely on contributions of time and resources from our members and sponsoring organizations. Membership is free and without obligation—simply follow the link below to sign up on our Meetup page.
Chicago ML fosters an open and welcoming environment to everyone regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
Monday, June 03, 2019 - 6:30 PM to 8:30 PM - Fermi National Accelerator Laboratory
Chicago ML is extremely excited to announce our first meetup with the ML team at Fermilab - America’s particle physics and accelerator laboratory!
NOTE: This event is in Batavia, IL - 40 miles west of Chicago. If you’d like to participate in a car pool - as a driver or a passenger - visit this link:
We will be hearing from:
- Gabe Perdue - Deep learning for ghost particles
- Joao Calderia - Machine learning the universe
- Javier Duarte - The fastest inference at the highest energies
- Garrett Smith - Light weight workflow automation with Guild AI
Some of the group’s ML papers:
https://arxiv.org/abs/1902.00743 https://arxiv.org/abs/1808.08332 https://arxiv.org/abs/1902.10159 https://arxiv.org/abs/1812.01106 https://arxiv.org/abs/1810.01483 https://arxiv.org/abs/1904.08986 https://arxiv.org/abs/1804.06913 https://arxiv.org/abs/1807.02876
NOTE AGAIN: The meetup is at Fermilab in Batavia, Illinois - approximately 40 miles west of Chicago. If you’d like to participate in a car pool - as a driver or a passenger - visit this link:
Thursday, May 30, 2019 - 5:30 PM to 7:30 PM - IBM
Chicago ML is delighted to announce our first collaboration with IBM on May 30!
Open Standards for Machine Learning Model Deployment
by Svetlana Levitan
Dr. Svetlana Levitan, Developer Advocate with Center for Open Source Data and AI Technologies (CODAIT) at IBM, discuses open standards that have made the process of model deployment easier.
Predictive model deployment is the part of the machine learning process where the practical results are achieved, when the model is used for generating predictions on new data (known as scoring). The deployment used to present big difficulties, as models were typically built in one environment and needed to be deployed in a different one. Often they would need to be re-implemented in a new programming language, that would be very slow and error-prone.
Predictive Model Markup Language (PMML) and Portable Format for Analytics (PFA) were developed by the Data Mining Group (DMG) that originated in Chicago. PMML has been around for more than 20 years and is used widely. PFA is an emerging standard that is getting a lot of interest. Open Neural Network eXchange (ONNX) format was recently developed by Facebook and Microsoft as a way to exchange deep learning (DL) models between different DL frameworks, and is now experiencing explosive growth. Attendees will get a good understanding of predictive model deployment challenges and approaches.
Svetlana Levitan, PhD, is Developer Advocate with Center for Open Source Data and AI Technologies (CODAIT) at IBM. She has been a software engineer, architect, and technical lead for SPSS Analytic components for many years. She represents IBM at the Data Mining Group and is the release manager for PMML and PFA, open standards for predictive model deployment. She is also working with other companies on ONNX, an open model exchange format for deep learning models. Svetlana is a co-organizer of several Chicagoland Meetup groups, including Big Data Developers in Chicago, Chicago Cloud Developers, Open Source Analytics. She has authored several blogs and presented at many conferences and other events. Svetlana loves to learn new technologies and to share her expertise, to encourage girls and women in STEM.
Thursday, May 23, 2019 - 6:00 PM to 8:00 PM - ShopRunner
Deciphering the Black Box: Understanding your Machine Learning Model
by Rajiv Shah
This talk will show how interpretability tools can give you not only more confidence in a model, but also help to improve model performance. This workshop will cover best practices for using techniques such as feature importance, partial dependence, and explanation approaches, such as LIME. Along the way, we will consider issues like spurious correlation, multicollinearity, and other issues that may affect model interpretation and performance. The talk will use easy to understand examples and references to open source algorithms to illustrate the techniques.
Rajiv Shah is a data scientist with DataRobot and an Adjunct Assistant Professor at the University of Illinois at Chicago. He has previously worked as a data scientist for State Farm and Caterpillar. He is an active member of the data science community in Chicago. He has a PhD from the University of Illinois at Urbana Champaign.
Monday, May 20, 2019 - 8:00 AM to 5:00 PM - Chicago AI Days
Chicago ML is proud once again to co-sponsor Chicago AI Days, this May 20th.
PLEASE NOTE: RSVPs for the Meetup event are closed. You cannot register on the Meetup site but must instead register using the link below.
This is a full day conference with traditional conference pricing - but we’ve been offered a very affordable early bird price! With discounts below our group members can attend for $70 if one of first 10 to use the new code below.
- Top AI leaders
- Great networking
- High quality programming
Determine your company’s future with AI. Attend the Midwest Applied AI Conference May 20th, 8:00AM - 5:00PM
TICKETS HERE : https://www.chicagoaidays.com/registration As an existing member of this group you are entitled to the Community Rate.
First 10 to register can get additional 60% off the community rate Use CHIML60; Next 20 will get additional 40% off, use CHIML40. This means a DOUBLE DISCOUNT!, but you may want act fast.
Please note this additional discount only available to those who joined group before (masked)
ATTENDING the event requires a PAID ti.to ticket, which you will receive upon registering at www.chicagoAIdays.com
Determine your AI Strategy at Chicago’s Premiere AI event
From IP and research to ► Commercial Success
From proof of concept to ► Operational Scale
From talent plan to ► Top AI Team
Advance your firm’s AI Results
Hear from top AI leaders who will explain how they apply and operationalize AI. Learn how enterprises productize AI offerings and bring them to market. Get the inside story by listening in on applied AI case studies in Healthcare, Finance, Consumer Products, Industrial IOT and other applications. Better understand how AI is upending many business plans and where the opportunities are.
Also featuring a co-located AI Career Fair. Separate registration opening soon.
SPEAKERS (25+ Midwest AI Leaders)
Enterprise Speakers : Walters Kluwers, Ennova, HCSC, Bayer, Zebra, Allstate, BMO, Abbvie, Microsoft AI Innovators : PhysIQ, SimMachines, Livongo, Ascent Technologies, Data Science for Social Good.
PROGRAM (Insightful Case Studies and Panels)
Look at latest program listings https://www.chicagoaidays.com/AI-conference-schedule
Tuesday, April 30, 2019 - 6:00 PM to 8:00 PM - SpotHero
Seamless Parking: An ML Approach to License Plate Recognition by Tony Smaniotto
License Plate Recognition (LPR) is a technology that has been utilized across several industries in recent years, but has the potential to disrupt many more. This talk outlines how LPR can play a role in the future of parking, the challenges inherent to LPR, and details a two-phase image recognition model that can both identify and read a license plate, given an image of a vehicle.
Tony Smaniotto is a Data Scientist with 8 years of experience working within product development, marketing analytics, and engineering teams. Prior to joining SpotHero, Tony held DS and Analytics roles at Leo Burnett and General Electric. Tony recently completed a Masters in Analytics program at The University of Chicago. He’s passionate about building tools that help businesses make better decisions using data.
Recommendation Systems by Ilya Barshai
Recommendations play a huge role in the user experience on any platforms that deal with digital content delivery and ecommerce. The first part of this talk will go through the traditional techniques for producing high quality recommendation systems. The second part will go through recent NLP-based work for resolving some of the issues these traditional systems suffer from.
Ilya Barshai is a machine learning scientist with Data Cowboys, a small consulting cooperative based in Seattle and Chicago. Ilya works on machine learning and data science problems in a variety of fields including education, biomedical research, manufacturing and ecommerce.