Big Data is a type of data that is in a huge quantity and is still growing rapidly. It is so large and complex that it is impossible to manage it using the traditional ways of computing and to store it to process it effectively and efficiently. Machine Learning is used to process and understand big data as the accuracy of Machine Learning models increases if trained using such amount of information.

The process of handling Big data and training Machine Learning models is a perfect match as without enough data we can’t train models to make future based decisions because if we used a small piece of insights to train models, then it might lead to a misleading prediction about the future course of action.

The Need for Big Data

Big data plays a major role in training a machine learning model, which can be used with thousands of data points. An organization competing in a very fast-changing market will always love to train and deploy a Machine Learning model that can make predictions in just a matter of milliseconds so that the organization can make a good move as quickly as possible.

#by aman kharwal #python #big data