From the course: Artificial Intelligence and Business Strategy
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Different types of machine learning algorithms
From the course: Artificial Intelligence and Business Strategy
Different types of machine learning algorithms
- The goal of developing an AI tool is to build a machine learning, or ML, model that can take an input such as a tooth x-ray, and deliver an output, such as whether or not there is a cavity training. Any ML model starts with two inputs, a machine learning algorithm and a data set. Think of the algorithm as a specialized computer program designed to help an ML model learn to do a particular task intelligently. At a macro level, there are three different types of machine learning algorithms, each relevant for certain types of tasks. I use the word type to highlight that there are exist many different algorithms within each type. Also, ML engineers keep tweaking their algorithms regularly. Supervised learning refers to those machine learning algorithms where the machine learns from answer keys provided in the training data. For example, in developing an ML model to classify incoming emails as spam/not spam,…
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