Hello, readers! Today, we would be having a look at one of the most in-demand topics in the domain of Data Science and Automation — Introduction to Machine Learning in R programming, in detail.
So, let us begin!!
What is Machine Learning?
Machine Learning is an important aspect of data science wherein we make use of various algorithms to work on real life scenarios and make predictions on the cases used to put the work at ease.
Machine Learning offers us various algorithms that learn from the historic data values and then make predictions on the data that is to be tested. By this, we understand that the predictions made by the algorithms can help us in various types of analysis and understanding of the patterns in the various sectors of the market.
Let us consider the below example to make ourselves comfortable with the idea and concept of Machine Learning:
Consider an online business store such as Amazon. What do you think, how do they analyze what is your most liked or looked for products from their available products?
How do you get personalized choices of products every time you look for something in the application?
This is when Machine Learning comes into the picture. The algorithms are used to understand and detect patterns from the search history of the customers to give a more personalized touch to the application.
These algorithms can be improvised as and when needed with regards to the outcome values that are to be predicted. Thus, it makes the entire idea of learning and prediction look like a user-friendly process to work with.
Having understood about the concept of Machine Learning, let us know focus on the main variants of the same.
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