Question-31: Which all Machine Learning Model you think can be part of the Supervised Learning?

Answer: We can say at least following 3 falls under the supervised Learning.

• Classification: (This can be supervised as well as unsupervised), based on that whether we already have the labels to classify or not.
• Regression:
• Recommendation system: (This can be supervised as well as unsupervised), based on that whether we already have the labels to predict.

Question-32: Which Supervised Machine Learning is best suited in Apache Spark or Big data world?

Answer: Recommender System is a vey common use case with the Spark and also well suited under the Big Data.

Question-33: can you once again tell me something about un-supervised learning?

Answer: Yes, using unsupervised Machine Learning we are trying to find the patterns or try to discover the underlying structure in the given data. Without having any dependent variable or prediction variables in advance.

Question-34: What do you mean by Anomaly detection?

Answer: Suppose you have some regular events happening on time or on regular interval. However, you want to catch any unusual activity during this time or interval which had not happened in past or have very different from other events. You can use Anomaly Detection algorithm to catch it. Like in share market millions of transactions are happening on daily basis. But you want to check for some unusual transaction to detect the fraud.

Another example is traffic police control want to detect any un-usual activity on the common road or path.

Question-35: Can you give an example of user segmentations?

Answer: A blogging website, want to recommend new blogs based on the user behavior, time spent on the website etc. They can put each user in different possible groups and based on the time spent or study or browsing they do.