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Regression Using scikit Kernel Ridge Regression

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this regression technique, which is especially useful when there is limited training data.

Top 10 AI 'Copilot' Tools for Visual Studio Code

With Microsoft's "copilot" AI assistants springing up everywhere, here are the 10 most popular VS Code tools that mention or are tagged with the term.

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Binary Classification Using a scikit Neural Network

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial.

Gaussian Naive Bayes Classification Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't have to fine tune model parameters.

Classification Using the scikit k-Nearest Neighbors Module

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter.

Regression Using a scikit MLPRegressor Neural Network

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.

Multinomial Naive Bayes Classification Using the scikit Library

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course.

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Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique.

Multi-Class Classification Using a scikit Decision Tree

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of Microsoft Research, who provides step-by-step instructions and full source code.

Top 10 AI Extensions for Visual Studio Code

With new generative AI tools shaking up the software development space, there are now more than 400 AI-infused extensions in the Visual Studio Code Marketplace.

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Naive Bayes Classification Using the scikit Library

Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence.

Binary Classification Using a scikit Decision Tree

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large data sets and can be susceptible to model overfitting.

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Logistic Regression Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters).

VS Toolbox: MAUI App Accelerator to Jump-Start .NET MAUI Scaffolding

Upon wizard completion, the tool wires everything up, basically abstracting the coding drudgery of manually grabbing NuGet packages and implementing Dependency Injection, Inversion of Control, constructor injections and so on.

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Logistic Regression from Scratch Using Raw Python

The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations that make it hard to tell what is key vs. non-essential information.

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Multi-Class Classification Accuracy by Class Using PyTorch

Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class.

The Traveling Salesman Problem Using an Evolutionary Algorithm with C#

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before.

Simple Numerical Optimization Using an Evolutionary Algorithm with C#

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and common technique.

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Regression Using PyTorch New Best Practices, Part 2: Training, Accuracy, Predictions

Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years, reflecting rapid advancements in machine learning with deep neural techniques.

Regression Using PyTorch, Part 1: New Best Practices

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years.

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