Abstract: Machine learning is the field, that enables us to predict the outcomes based on past experiences. It has made many updating like one; is of storage capacity and also the processing powers of the computers. Nowadays machine learning techniques are mostly used for biometrics like fingerprint scanning, Eyes detection, etc. It will focus on what is meant by machine learning, the history of ML, then the focus is on some of the commonly used terms of ML, and then point out the types, then focus on ML process and at last differentiate types of Machine Learning in tabular format.

Keywords: Machine Learning, Supervised, Unsupervised, Reinforcement, Checkers, Linear Regression, Logistic Regression, Perceptron.

PDF | DOI: 10.17148/IJARCCE.2021.101234

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