Machine Learning Consulting & Development Services
Machine Learning is a subset of Artificial Intelligence, used in developing applications that learn from experience through pattern identification and make decisions depending on the learning without being explicitly programmed for it. Machine Learning eliminates the hassle of programming a computer to make a decision. Instead, the machine learns from historical data and delivers better accuracy in decision-making over time through continuous learning.
Machine Learning is not a new concept, but it has come a long way since its inception. With the increasing volume of available data, computational processes that are efficient but consume limited resources for data mining and interpretation are in demand. Machine Learning is a technology that fits perfectly into this requisite.
Machine Learning methods
There are three distinct styles in Machine Learning. Each differs in the way the algorithms are trained.
Supervised Machine Learning:In this method, a labelled data set is used for training. Here both the input and output are specified, and the label information is used by the machine learning model to determine or classify the data.
Unsupervised Machine Learning:In the unsupervised method, a bulk amount of unlabeled data is fed into the model which is then crunched by the algorithms for extracting meaningful information that can be used for classifying or labelling data in real-time. Here the algorithm establishes connection between the data sets after scanning.
