Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...
Deep Learning with Yacine on MSN
Building Multivariate Linear Regression in C++ — No Libraries, Just Code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Deep Learning with Yacine on MSN
How to Implement Linear Regression in C++ Step by Step
Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...
Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
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