Despite all of the hype around AI and ML, data science can actually respond to five main questions. Learn what they are in this video.
- [Narrator] Finally, let's talk about … machine learning on Azure. … There's a lot of hype about data sciences … and the enormous impact that it can have in our lives. … But essentially, data sciences can respond … mainly five questions. … Classification, is this A or B? … For example, is this machine supposed to fail … on the next 30 days? … Yes or no. … This would be an example for dual class classification. … But if there are more than two options, … it's called multiclass classification. … Regression, how much, how many? … In regression, you're generally looking for a number. … For example, what's going to be the total sales … of Microsoft in 2020? … Anomaly detection, is this weird? … We have covered this before, … but it's basically looking for data … that stands out of a pattern. … These solutions are quite good for IT security breaches … in bank fraud detection for example. … Clustering. … How is this organized? … A good example of this, are recommendation systems. … Whenever you see a recommended for you section …
Skill Level Intermediate
1. Artificial Intelligence in Azure
3. Natural Language Processing
4. Creating Bots
5. Working with Machine Learning Solutions
Automated machine learning2m 20s
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