Machine Learning has become an integral part of many industries with potential applications in image recognition, speech recognition, traffic recognition, etc.
Machine Learning refers to an application of advanced artificial intelligence (AI) that giving machines the ability to quickly and reliably learn from past experience by themselves, without being specifically programmed. Machine learning focuses primarily on the development of programs, which are able to access large amounts of data and apply it to solve complex problems for themselves by themselves. In this way, they can leverage their previous experiences to make them better in the future. Machine Learning uses both supervised and unsupervised learning techniques to achieve its results. The key to successful applications of Machine Learning is the quality of the training data. In order for a machine learning model to be effective, it must be trained on data that mimics the kind of results that it is expected to deliver. Most machine learning models today are trained via a combination of supervised and unsupervised learning techniques. The supervised training technique involve...