Multi-Model Data Fusion in Machine Learning: A Study and Analysis

technique that is frequently used for prediction is known as machine learning. Machine learning, a branch of artificial intelligence, is a highly developing area currently. Numerous libraries consist of a wide range of algorithms which can be used for prediction. The fundamental objective of machine learning is to create intelligent computers capable of thinking and acting like humans. The algorithms take a value as an input and predict an output. One aspect of the data is the building/training of a model using numerous algorithms on a large amount of data. The second step of applying machine learning in the real world involves using these models in the various applications. To make more accurate prediction and fastest decision, we need to analysis all information from different modalities like image, pattern, and text, audio and so on, which are related to the specific issue which is gone to be solved. So, in this paper is based on study of Multi modal Data Fusion in Machine learning is the technique of combining data from several sources.