Linear Regression is an important algorithm of supervised learning. In this article, I introduced how to solve a linear regression problem by using Gradient descent algorithm and Matrix derivatives.
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Infer.NET is an open source library that can be used to create probabilistic programming systems. We can use Infer.NET to solve many different kinds of machine learning problems, such as classification, recommendation, and so on. In this…
In Machine Learning, vectors can be used as a good way to represent numeric data. When using vectors, we can meet the following basic operations: