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Welcome to Week 2

Welcome to Week 2
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© Deakin University

This week, we’ll learn about inductive bias, sampling bias, and the predictive modelling lifecycle.

An inductive bias is a necessary part of a machine learning algorithm. Without it, the algorithm can’t actually learn. A sampling bias, however, is something you should try to minimise.

This week we’ll look at biases in machine learning and what can go wrong as a consequence. We’ll also study a process used to manage predictive modelling projects and some of the tools available in the field.

Share your thoughts

What comes to mind when you think of ‘bias’ in machine learning? Share your thoughts in the comments.

© Deakin University
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Introduction to Predictive Modelling in Business

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