Neural Network Classification: Multiclass Tutorial
My previous post described how to build a neural network that serves as a binary classifier. In this follow-up, we’ll explore neural network classification for problems with more than two […]
Binary Classification Neural Network Tutorial with Keras
One of the common uses for machine learning is performing binary classification neural network, which looks at an input and predicts which of two possible classes it belongs to. Practical […]
Building Neural Networks with Keras and TensorFlow
Machine learning isn’t hard when you have a properly engineered dataset to work with. The reason it’s not hard is libraries such as Scikit-learn and ML.NET, which reduce complex mathematical […]
Using GitHub Actions to Manage Certbot (Let’s Encrypt) Certificates
GitHub Actions is an excellent source for all things automation. For personal accounts, there’s a limited free offering that allows you to run automation jobs. I use GH actions to […]
Building Machine-Learning Models with ML.NET
Scikit-learn is arguably the world’s most popular machine-learning framework. The efficacy of the library, the documentation that accompanies it, and the mindshare that surrounds it are the primary reasons more ML models are written in Python than any other language.
Operationalizing Machine-Learning Models
All of the machine-learning models presented so far in this series were written in Python. Models don’t have to be written in Python, but many are, thanks in part to […]
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 […]
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, […]
Supervised Learning with k-Nearest Neighbors
Most machine-learning models fall into one of two categories. Supervised-learning models make predictions. For example, they predict whether a credit-card transaction is fraudulent or a flight will arrive on time. […]