Akshita GuruinOperations Research BitCollaborative FilteringNow, we will have a look what if we don’t have features x1 and x2.Aug 51Aug 51
Akshita GuruinOperations Research BitUsing Per-Items FeaturesSo here’s the same data set that we had previously with the four users having rated some but not all of the five movies.Jun 161Jun 161
Akshita GuruinOperations Research BitMaking RecommendationsNow have a look at making recommendations a part of collaborative filtering.Jun 11Jun 11
Akshita GuruinOperations Research BitAnomaly Detection v/s Supervised LearningWhen should you use anomaly detection and when should you use supervised learning?May 30May 30
Akshita GuruinOperations Research BitANOMALY DETECTION ALGORITHMWelcome back! Now that you’ve seen how the Gaussian or the normal distribution works for a single number, we’re ready to build our anomaly…May 24May 24
Akshita GuruinOperations Research BitFinding Unusual EventsAnomaly detection algorithms look at an unlabeled dataset of normal events and thereby learns to detect or to raise a red flag for if there…May 2May 2
Akshita GuruCLUSTERINGWelcome back! We have learned about supervised learning thus far. Let’s now examine unsupervised learning. The fundamentals are available…Apr 5Apr 5
Akshita GuruVECTORIZATIONWe’ve already discussed the model of multiple linear regression. Click here to view it if you haven’t already. Now here we will cover…Apr 2Apr 2
Akshita GuruMULTIPLE LINEAR REGRESSIONHi there again! Now, we will talk about multiple linear regression features. Here is a link to our previous discussion of linear regression…Mar 31Mar 31
Akshita GuruLEARNING RATEWelcome back! As we have already seen about gradient descent, if you have not, then click here. Now we are going to look at the learning…Mar 27Mar 27