C#


AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The implementation follows the original source research paper closely, so you can use it as a guide for customization for specific scenarios.

DBSCAN Clustering and Anomaly Detection Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm. Compared to other anomaly detection systems based on data clustering, DBSCAN can find significantly different types of anomalies.

Winnow Classification Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the Winnow classification technique. Winnow classification is used for a very specific scenario where the target variable to predict is binary and all the predictor variables are also binary.

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to implement, supports numeric and categorical predictor variables, and is highly interpretable.

Logistic Regression with Batch SGD Training and Weight Decay Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using logistic regression, where the prediction model is trained using batch stochastic gradient descent with weight decay.

AdaBoost Binary Classification Using C#

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification algorithms, AdaBoost is powerful and works well with small datasets, but is sometimes susceptible to model overfitting.

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique.

C# Dev Kit Update Helps Wrangle NuGet Packages and More in VS Code

Microsoft's C# Dev Kit extension for Visual Studio Code has been updated to more easily wrangle NuGet packages, run/debug .NET Aspire applications, see the active document in Solution Explorer and acquire the .NET SDK within the editor.

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items.

Just for Fun: A Five-Card Poker Library Using C#

Chances are if you've had many coding interviews you've been presented with a poker problem. Here's a great take from Dr. James McCaffrey of Microsoft Research.

The t-SNE Data Visualization Technique from Scratch Using C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step example of machine learning technique to visualize high-dimensional data.

Data Clustering Using a Self-Organizing Map (SOM) with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data.

Principal Component Analysis from Scratch Using Singular Value Decomposition with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a classical ML technique that transforms a dataset into one with fewer columns, useful for creating a graph of data that has more than two columns, for example.

Matrix Inverse from Scratch Using SVD Decomposition with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and performance.

Machine Learning

Principal Component Analysis (PCA) from Scratch Using the Classical Technique with C#

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Matrix Inverse from Scratch Using QR Decomposition with C#

Dr. James McCaffrey of Microsoft Research guides you through a full-code, step-by-step tutorial on "one of the most important operations in machine learning."

TIOBE Index Predicts C# as 2023 'Language of the Year' After 2022 Near-Miss

Microsoft's C# programming language led the race to be named "programming language of the year" for 2022 by the TIOBE Index before being overtaken at the very end, but it's expected to attain the throne this year.

Create a Working Neural Network Prediction System with C#

Dr. James McCaffrey of Microsoft Research will teach how to do just that at an upcoming Visual Studio Live! developer conference.

Uno Platform 5.0: C# Is Now All You Need

Uno Platform 5.0 shipped this week with the ability to create entire cross-platform applications -- including markup -- from a single codebase written in one language, C#.

Neural Network Regression from Scratch Using C#

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this full-code, step-by-step tutorial.

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