Descriptive Analytics and K-Means Clustering in Big Data

What is Machine Learning?

• By providing instructions with data we can train a digital machine to process and execute operations like a human
• Once the machine learns from that, it will work very smoothly and efficiently on new data and operations

Types of Machine Learning

Unsupervised Learning

• When we cannot guide a machine with a proper guideline on a dataset we can let the machine to discover important patterns, relationships, and anomalies from the given data, and this ripples to unsupervised learning.

Supervised Learning

• When we can make decisions on data, we can make machine to do that more accurately and more efficiently, this refers to supervised learning

Seim-Supervised Learning

• We are partially giving instructions but it is not enough to make a final decision, there fore computer has to work on the data from other way around at combination of both these efforts will provide a final conclusion.

Reinforcement Learning

• To collect observations from the environment at realtime, and make decisions which are dynamic.

Descriptive Analytics

• Descriptive analysis is a type of data analysis that involves summarising and describing the main features of a dataset. It helps to identify patterns, trends, and relationships within the data.
• Exploring what happens in an incident It's called descriptive analysis.

Clustering

• It is an unsupervised learning method which will group data objects based on different / similar characteristics.

Q: Differentiate the characteristics between a Cat and a Dog

• Length of Ears
• Length between eyes and nose
• Eye shape
• Height
• Shape of head

Applications of Clustering

• Customer Segmentation
• Market Segmentation
• Image Segmentation

K-Means Clustering Algorithm

It is a very simple algorithm, that group data points, into different groups according to variance of that specific data point with it's pre-defined centroid
Ex:- We received 10 data points which are having only two parameters, salary and expenses. and It's plotted in the following coordinate plane.