Published inOperations Research BitCollaborative FilteringNow, we will have a look what if we don’t have features x1 and x2.Aug 5, 20241Aug 5, 20241
Published inOperations 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 16, 2024Jun 16, 2024
Published inOperations Research BitMaking RecommendationsNow have a look at making recommendations a part of collaborative filtering.Jun 11, 2024Jun 11, 2024
Published inOperations Research BitAnomaly Detection v/s Supervised LearningWhen should you use anomaly detection and when should you use supervised learning?May 30, 2024May 30, 2024
Published inOperations 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 24, 2024May 24, 2024
Published inOperations 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 2, 2024May 2, 2024
CLUSTERINGWelcome back! We have learned about supervised learning thus far. Let’s now examine unsupervised learning. The fundamentals are available…Apr 5, 2024Apr 5, 2024
VECTORIZATIONWe’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 2, 2024Apr 2, 2024
MULTIPLE 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 31, 2024Mar 31, 2024
LEARNING 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 27, 2024Mar 27, 2024
