Types and Algorithms of Machine Learning
Shikha Choudhary , PHP developer at TMIT Services
There are three main types of problems that can be solved using Machine Learning. These are based on the output:
- Regression: In regression problems, the output is continuous. Example: want to predict the loan amount, speed of the wind, speed of the car.
- Classification: Here, predicting an event or class of the data into a predefined group. The output is a categorical value. Example: classifying emails into two classes: spam or not spam, whether a person has diabetes or not have diabetes.
- Clustering: In this problem, we classify the data into n-number of classes, where n is not predefined. The difference here from the classification problem is that the number of the groups is not predefined—for example clustering customers into similar groups based on their demographics, interests, purchase history.
