Skip main navigation

Hurry, only 9 days left to get one year of Unlimited learning for £249.99 £174.99. New subscribers only. T&Cs apply

Find out more

What else is there to know?

Ian Witten introduces this week's Big Question

You’ve learned lots in this course about machine learning and its use in data mining. Most importantly, you’ve learned that there’s no magic in data mining, just a bunch of fairly simple techniques for analyzing data to produce models, and evaluating the performance of the predictions. You now know that interpreting the output, and understanding what is being done, is a key to successful application of this technology.

Producing classifiers is just a small part of the overall data mining process – perhaps the easiest part! What else needs doing? When interpreting the results you need to be skeptical – what can possibly go wrong? (lots!). When working with data you need to be sensitive – why? Data mining is essentially about discrimination, which is sometimes unethical, even illegal(!) – when? What techniques have you learned, and what have we missed?

At the end of the week you should be able to address these issues in an informed manner.

This article is from the free online

Data Mining with Weka

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