Machine Learning basis
Machine Learning is a first-class ticket to the most exciting careers in data today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.
Our nine-week introductory course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning.
The course is both theoretical and practical, and we will ensure you understand the theory behind the algorithm before this is tested on real-world data examples. We will guide you through areas such as analyzing large amounts of data and classifying this into appropriate categories, and how to recognize recurring features and identify correlations, so that you can develop a complex system which has the ability to make accurate predictions.
You’ll look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!
Most importantly, you will transform your theoretical knowledge into practical skills using hands-on tasks. Get ready to do more learning than your machine!