In recent years, “Machine Learning” has evolved into a buzzword that is used for describing all sorts of modeling. When studying Machine Learning it is important to get acquainted with all the different categories below the famous umbrella term. First, Machine Learning can be broken down into two simple categories, “Supervised Learning” and “Unsupervised Learning”. I will only focus on the Supervised Learning subset in this article. Supervised Learning is a class of machine learning that can “learn” a task through labeled training data. The labeled data is what makes a difference between Supervised Learning and Unsupervised learning, Unsupervised Learning…

Alex Zieky

Financial professional with experience in data acquisition, data modeling, statistical analysis, machine learning, deep learning, and NLP.

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