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Date(s) - 28/10/2018 - 29/10/2018
1:00 pm - 5:00 pm

Mississauga Campus


Learn to build, use and tune models for machine learning.

This is a great way to get started with machine learning. We do not justteach you the theory, we train you in how to apply it to real world problems.

This is a WORKshop, you will learn by doing, guided by our expert instructors. We teach you how the algorithms work, and we train you in how to apply them.

After this course you will be able to:

  • Build, use and tune models for machine learning.
  • Apply machine learning to real world problems.
  • Know how to avoid common mistakes.
  • Know the difference between different algorithms and how to use them most efficiently.

You will learn about:

  • Supervised and unsupervised learning
  • Regression and classification
  • Reinforcement learning
  • Neural networks and deep learning
  • Preprocessing and managing large datasets

You will use common tools and frameworks, such as: TensorFlow, Keras, Pandas and more.

You will know where to find resources, pre-trained models, and datasets for your own machine learning projects. And you will have the continuing support of our staff and Alumni Community after you finish.

You do need to bring your own laptop for this workshop. Before the workshop we will help you set up everything you need on your laptop so that you are ready to start coding.

Who should take this course?

  • Programmers who wants to get started with Machine Learning.


  • Working knowledge of at least one programming language, preferably python. If you have no prior programming experience we welcome you to attend our Python Programming Weekend Workshop first
  • You need to bring your own laptop (Windows/Linux/MacOS)


The instructor for this workshop is Maja Maher. She has a Masters degree in Computer Science with a specialization in Robotics and Intelligent Systems. She also has vast experience teaching students at graduate and under graduate level. Maja has been working with Artificial Intelligence and Machine Learning for more than 6 years.

Course Schedule

Saturday and Sunday 1pm – 5pm.