Introduction to Machine Learning

Let me start with an example. In today’s world, everyone has mobile and if we want to call our dear ones, we just say “call dad”, it recognizes and calls dad. This is Speech Recognition and under this there is something called “Machine Learning”.

Let’s see more examples in Industry:

In today’s pandemic situation, most important is Health Care sector. So let’s use that sector first to understand:

Health Care Sector - Say you have limited no. of oxygen ventilators support in emergency for covid patients, and you want to know for which covid patient you should give oxygen support. You built a predictive model which detects who should be given oxygen support in emergency case.

Banking Sector - Say you want to find which customers will pay home loan and who will not. You built a predictive model which detects who will pay home loan and who will not.

In Machine learning, Machines learns from the data just like humans learns from their experiences.

Types of ML Algorithms:

1.Regression: This is Supervised Machine Learning(this topic will be discussed in next session). The output variable to be predicted is a continuous/numerical variable.

E.x:

Predict the score of students based on their 10th std marks, 12th std marks etc

2. Classification: This is Supervised Machine Learning (this topic will be discussed in next session). The output variable to be predicted is a categorical variable.

E.x:

Classifying Customers who will pay home loan and who will not.

Categorizing email into official, personal, social network, advertisement etc

Categorizing Patient as Covid Patient or not.

3. Clustering: This is Unsupervised Machine Learning(this topic will be discussed in next session). You do not have a target or outcome variable here. The objective is to discover interesting patterns or clusters in the data.

E.x.

In social media, Cluster Analysis is used to identify similar communities within larger groups.

Grouping customers of a store into different clusters and making a separate targeted marketing strategy for each group.

Are there any subgroups or ‘clusters’ among the bank’s customers?

So in this session we have seen what is Machine Learning with examples and types of Machine Learning Algorithms.

In next blog, we will see what is Supervised and Unsupervised Machine Learning with examples: https://raghulprasanthpsg.medium.com/supervised-and-unsupervised-machine-learning-5e7e3333a307