Build AI YOURSELF!

Machine Learning 101

Online Hands-On Workshop

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Build AI yourself

Hands-on practice

  • Artificial Intelligence

    What is machine learning?
    What is a model?

  • Data Types

    Tabular, time Series, vision and NLP
    Organize data

  • Data Preparation

    Wrangle and pre-process data
    Make datasets for ML

  • Machine Learning

    Classification, regression, deep learning
    Build, evaluate, tune, and validate models

  • Model Deployment

    Deploy models as microservices
    Use APIs for real-time prediction

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

Register today for only…

Prices in USD

$99

Agenda

Join us for an expert-led online workshop. This is is a hands-on activity. Learn machine learning by building models YOURSELF!

Three dates to remember!

April 10, 2021

Registration Deadline

Registration is limited to 30 spots.

April 10, 2021

April 15, 2021

Resources Sent

Resources are sent to you to prepare.

April 15, 2021

April 17, 2021

Hands-On Workshop

We solve the challenge together. Do it yourself. Practice modeling with an expert!

April 17, 2021

Itinerary

Time Item
9:00 a.m - 10:00 a.m Introduction to Machine Learning
The language of data
The data science process
10:00 a.m Sign in to mlOS
10:00 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

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

You get pre-reading, a ML challenge use case, test data, and step-by-step instructions in this workshop