Machine Learning, Its Limitations, and Solutions Over IT

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Abstract

Machine learning is an investigation of computer algorithms and sample data to build a mathematical standard model for making decisions without programming. Machine learning means the computer system is performing a task without being programmed for that task. We studied the machine learning concept in detail by exploring the relationship of machine learning with other fields, machine learning approaches, machine learning models, and limitations of machine learning. There are three main approaches for machine learning study supervised, unsupervised, and semi-supervised. Other than this Reinforcement machine learning, self-learning, feature learning, sparse dictionary learning, deviation detection, and robot learning. An artificial neural network, decision trees, support vector machines, regression analysis, Bayesian network, genetic algorithms, and some training models.

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