Join us for a 2-day journey exploring machine learning from scratch and learning about the different approaches and algorithms in the ML world.

Intro to ML

This is an introductory lesson into what Machine Learning is. The lesson introduces three features that ML covers: classifying, clustering, and recommending it also links to the everyday examples in our lives.

Learning Objectives :

• Summarise what ML is.
• Distinguish between types of ML.
• Recognize when ML can be used to solve a problem.

Neural Networks

In this lesson, we will begin to understand the basics of neural networks. By the end of this lesson, you should be able to summarise what neural networks are and why they are so popular and powerful.

Learning Objectives :

• Explain what a neural network is and at high-level how it works.
• Explore the effect of network structure on model performance.

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