Introduction to Machine Learning (ML)
Get a FREE introduction to Machine Learning (ML).
Description
In this 1-hour webinar, you'll get an overview of Machine Learning (ML), its origins, its link to the wider AI, and how ML impacts our everyday lives.
"Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of Artificial Intelligence (AI)."
Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.
Audience
There are no prerequisites required to attend this free webinar, however it is ideal for anyone interested in data-related courses.
Curriculum
In just 1 hour, we'll explore the following topics:
- Understand what Machine Learning (ML) and its origins
- Understand how ML links to AI
- Understand the difference between Supervised and Unsupervised ML
- Understand some of the practical uses of ML
- Understand the danger of Bias in ML
- Understand some key ML algorithms and when they are used
- Understand what Over or Under fitting is