Machine Learning is a data science field which allows computers to learn and execute tasks without been programmed for it. With machine learning, the computer will learn how to do these tasks from previous experiences. These previous experiences allow the computer to gain knowledge on how to solve these tasks and how to come to a conclusion regarding them.

What are the applications of Machine Learning ?

Machine Learning can be used in various fields:

1. Recommender Systems

Machine Learning can be used to create recommender systems. Recommender systems are used in movie booking sites to provide personalized recommendations to the customer or on eCommerce websites to recommend a product that the customer may like. All the recommender systems are based on Machine Learning.

2. Spam Filtering

One of the oldest and most familiar applications of machine learning is spam filtering. Spam filtering is used in our email client eg: Gmail. When we receive a new email, the algorithm will check the contents of the mail with reference to all the previously reported spam emails by other users. This will allow the algorithm to classify emails as spam.

3. Prediction

We can use machine learning to predict events that will happen. This aspect of machine learning is heavily used around the world. Doctors and hospitals are using machine learning to find patterns of illnesses in patients. Weather forecasters are using machine learning to find and alert authorities in case of any calamities. People are using machine learning to predict the output of football matches, how a new product will perform in the market etc.

Python for Machine Learning

We can see that machine learning is being implemented everywhere around the world. As complicated and difficult it may seem, machine learning is quite simple and easy to implement with python. The Training provided by Spectrum Softtech Solutions will make you a data scientist in Python.