Principal Component Analysis
Principal Component Analysis, or PCA, is one of the minor miracles of machine learning. It’s a dimensionality-reduction technique that reduces the number of dimensions in a dataset without sacrificing a […]
Support-Vector Machines
Support-vector machines, also known as SVMs, represent the cutting edge of statistical machine learning. They are typically used for classification problems, although they can be used for regression, too. SVMs […]
Moving to ASP.NET Core: Replacing HTML Helpers that have Dependencies
Moving to ASP.NET Core: Replacing HTML Helpers that have Dependencies The HTML Helper is born To make it easier to add content to a view, you can take advantage of […]
Windows 11 — Initial Reactions and Thoughts
Windows 11 made a big splash with the announcement of the new version of the OS that was supposed to never have another version again. In any case, as part […]
Multiclass Classification
The three previous posts in this series introduced binary classification and provided working examples of its use, including sentiment analysis and spam filtering. Now it’s time to tackle multiclass classification, […]
Binary Classification: Spam Filtering
My previous post introduced a machine-learning model that used logistic regression to predict whether text input to it expresses positive or negative sentiment. We used the probability that the text […]
Binary Classification: Sentiment Analysis
One of the more novel yet practical uses for binary classification is sentiment analysis, which examines a piece of text such as a product review, a tweet, or a comment […]
Binary Classification
The machine-learning model featured in my previous post was a regression model that predicted taxi fares based on distance traveled, the day of the week, and the time of day. […]
App Services Migration Assistant Assessment Report
Azure App Services is a popular choice for migrating apps to Azure because it gets users out of the business of managing servers. But with App Services, some limitations might […]