Skip main navigation

Welcome to Week 2

Welcome to Week 2
A backdrop of fractal elements, grids and symbols on the subject of education, science and technology
© 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
This article is from the free online

Introduction to Predictive Modelling in Business

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now