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Build AI yourself!
Machine Learning Operating System 101
Online Hands-On Workshop
Join us on October 7, 2020
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Book your spot today!
Online hands-on workshop to learn...
In addition to the expert-led workshop, you will also receive a FREE 7-day trial to mlOS, the machine learning operating system!
Agenda
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!
Itinerary for October 7, 2020
| Time | Item |
|---|---|
| 9:00 a.m - 9:50 a.m | Introduction to the mlOS 101 challenge The data science process The types of data: Tabular, NLP, Time Series and Vision/Images |
| 9:50 a.m - 10:00 a.m | Technology check |
| 10:00 a.m - 12:00 p.m | Solve the challenge Load data, exploration, analysis, engineering Use SVM, Neural Network and other algorithms to build models Document and review models Deploy model API as a real-time predictive app Test model, score unknown data and get predictions |
| 12:00 p.m - 12:10 p.m | Break |
| 12:10 p.m - 01:00 p.m | Q&A Tips and Tricks Learning resources to practice modeling |
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.
Kwame Asiedu
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 October 7, 2020
You will get a use case, data, and step-by-step instructions to sign-up a few days in advance of this workshop
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