Machine Learning Operating System 101

Online Hands-On Workshop

Join us on November 28, 2020

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Book your spot today!

Online hands-on workshop to learn...

  • Artificial Intelligence

    What is machine learning?
    What is a model?

  • Data Types

    Tabular, time Series, vision and NLP data
    How to organize data?

  • Data Preparation

    How to wrangle and pre-process data?
    How to make datasets?

  • Machine Learning

    Classification, regression, deep learning algorithms
    How to build, evaluate, tune, and validate models?

  • Model Deployment

    How to deploy models?
    How to use APIs for real-time prediction?

In addition to this expert-led workshop, you will also receive a FREE 30-day trial to mlOS, the machine learning operating system!

Register today for only…

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 Deadline

Registration closes and is limited to 30 spots.

November 25, 2020

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 27, 2020

November 28, 2020

Hands-On Workshop

We solve the challenge together. This is not a talk. Do it yourself. Practice modeling with an expert!

November 28, 2020

Itinerary for November 28, 2020

Time Item
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

Padma Paul

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

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 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