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Richard Han
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  • Los Angeles, CA
  • United States
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Prasanth liked Richard Han's blog post The Math Behind Machine Learning
Nov 4, 2018
Richard Han's 2 blog posts were featured
Oct 25, 2018
Richard Han posted a blog post

The Math Behind Machine Learning

Let’s look at several techniques in machine learning and the math topics that are used in the process.In linear regression, we try to find the best fit line or hyperplane for a given set of data points. We model the output of our linear function by a linear combination of the input variables using a set of parameters as weights.The parameters are found by minimizing the residual sum of squares. We find a critical point by setting the vector of derivatives of the residual sum of squares to the…See More
Oct 25, 2018

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Short Bio
Hi there! My name is Richard Han. I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience. I am an online math educator and have authored many successful books including Linear Algebra for Beginners: Open Doors to Great Careers and Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence.
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http://www.linkedin.com/in/richard-han-425a422b/
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Machine Learning
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Visiting Professor
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Richard Han's Blog

The Math Behind Machine Learning

Posted on October 24, 2018 at 6:00pm 0 Comments

Let’s look at several techniques in machine learning and the math topics that are used in the process.

In linear regression, we try to find the best fit line or hyperplane for a given set of data points. We model the output of our linear function by a linear combination of the input variables using a set of parameters as weights.

The parameters are found by minimizing the residual sum of squares. We find a critical point by setting the vector of derivatives of…

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