Build AI YOURSELF!
Machine Learning Operating System 101
Online Hands-On Workshop
Join us on November 28, 2020
Don't miss out, registration is limited and closes in...
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Online hands-on workshop to learn...
In addition to this expert-led workshop, you will also receive a FREE 30-day trial to mlOS, the machine learning operating system!
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Prices in USD
Join industry experts for a 4-hour expert-led online workshop. This is is a hands-on activity. Learn machine learning by building models YOURSELF!
Three dates to remember!
November 25, 2020
Registration closes and is limited to 30 spots.
November 27, 2020
Workshop Data Sent
The workshop resources will be sent to you. You get access to mlOS, the machine learning Operating System for 30 days at no cost.
November 28, 2020
We solve the challenge together. This is not a talk. Do it yourself. Practice modeling with an expert!
Itinerary for November 28, 2020
|10:00 a.m - 10:30 a.m|| Introduction to Machine Learning |
The language of data
The data science process
|10:30 a.m||Sign in to mlOS|
|10:30 a.m - 12:00 p.m|| Solve the ML Challenge|
Load data, explore, analyze, and wrangle it
Use several algorithms to build models
Evaluate model performance
Publish and Review models
Deploy model as an API in an app
Interact with your model in real-time and get predictions
|12:00 p.m|| Q&A |
Support and Help
Meet the Instructors
Dr. Padma Paul
The Data Dr.
20+ years experience in AI, ML, research, and industrial software. In Alberta, he built commercial AI applications for pipeline leak detection, SAGD production optimization, emission detection, optimization of non-productive time, and several others.
B.Sc. M.Phil., and a Ph.D. in Computer Science. Ranked 7th in all Computer Science Ph.D. Students for research in Computer Science and 1st in AI and Applied Machine Learning among all universities/labs in Canada. Post-Doctoral Fellow in Oxford Computational Neuroscience (OxCNL) at the University of Oxford. Fellowship at the Brain Science Foundation, US.
The ML Builder
15+ years of experience in data science and architecture in big data mining and analytics, deep machine learning, pattern recognition, digital signal processing, system design and analysis, biometrics, and IoT. Worked as Director of an Artificial Intelligence lab at ATB that applied ML in banking. First in the world work includes a conversation recommendation engine that increases the Lifetime Value of customers into a financial virtual assistant running on Facebook.
B.Sc. in Computer Science and Psychology and a M.Sc. in Geomatics Engineering. Certified Information Systems Auditor and a Professional Member of APEGA, IEEE, and ISACA.
We will solve a ML challenge together
Join us on November 28, 2020
You will get resources like pre-reading, the ML challenge use case, test data, and step-by-step instructions to sign-up in advance of this workshop