From the course: Data Science and Analytics Career Paths and Certifications: First Steps
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Machine learning
From the course: Data Science and Analytics Career Paths and Certifications: First Steps
Machine learning
- Machine learning is based on self-learning or self-improving algorithms. In machine learning, a computer starts with a model and continues to enhance it through trial and error. It can then provide meaningful insight in the form of classification, prediction, and clustering. There are two types of machine learning. One is supervised, and the other is unsupervised. Supervised learning is reinforced by feedback in the form of training data. Suppose that you have a basket of apples and oranges. You'd like to separate them into two distinct groups of fruits, that is apples and oranges. In the supervised learning environment, you already have training data which can tell your machine learning algorithm what fruit belongs to which group after it makes its decision. In this scenario, the algorithm already knows that there are two labels to be used in its attempts to separate the fruits. Therefore, this process is equivalent to…
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