Challenges in Machine Learning

In the era of Artificial Intelligence (AI) a machine (computer) performs a specific task with the help of a model. Machine Learning (ML) is the study of these kinds of models and algorithms. Machine Learning Algorithms (MLAs) have proven successful in extracting patterns from images and sensing anomalies to detect fraud. While Machine Learning has solved many problems, there is still a large gap compared to the abilities of human learning. One of the biggest challenges in using ML technology is providing sufficient data to train a model.  Large amounts of data are required for the model to work. Humans learn using an adaption mechanism and are able to discern relationships using a variety of information.  Machine Learning, however, does not have this ability, but instead relies on a large set of data to train the model. For Machine Learning to work it is important to select the appropriate set of features from…

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