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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.

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

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs.

Binary Classification Using PyTorch, Part 1: New Best Practices

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two years.

Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions

Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values.

Multi-Class Classification Using PyTorch, Part 1: New Best Practices

Dr. James McCaffrey of Microsoft Research updates previous tutorials with new, cutting-edge deep neural machine learning techniques.

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ANOVA Using C#

One use case for the analysis of variance statistics technique is asking if student performances are the same in three classrooms taught by the same teacher but with different textbooks, says Dr. James McCaffrey of Microsoft Research.

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Lightweight Mathematical Combinations Using C#

After previously discussing permutations, Dr. James McCaffrey of Microsoft Research uses step-by-step examples and full code presentations to explore combinations.

Taking My New GitHub Copilot 'AI Pair Programmer' for a Spin

My Copilot does a lot of cool things, but sometimes it repeats itself and doesn't seem to want to compute the value of pi.

Lightweight Mathematical Permutations Using C#

Get ready to use the BigInteger data type as Dr. James McCaffrey of Microsoft Research demonstrates zero-based mathematical permutations with C#.

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Runs Testing Using C# Simulation

Dr. James McCaffrey of Microsoft Research uses a full code program for a step-by-step explanation of this machine learning technique that indicates if patterns are random.

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Probit Regression Using C#

Dr. James McCaffrey of Microsoft Research explains the classical machine learning technique typically used for binary classification -- predicting an outcome that can only be one of two discrete values.

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Weighted k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research explains the machine learning technique, which can be used to predict a person's happiness score from their income and education, for example.

How to Do Web Forms in VS 2022 (Even Though Microsoft Recommends Blazor/.NET 6)

Microsoft recommends replacing relic from old .NET Framework with Blazor, but you can still do ASP.NET Web Forms apps in Visual Studio 2022 if you want to, with a couple tweaks.

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Naive Bayes Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full step-by-step example with all code to predict a person's optimism score from their occupation, eye color and country.

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CIFAR-10 Image Classification Using PyTorch

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification system for the CIFAR-10 dataset.

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Preparing CIFAR Image Data for PyTorch

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, convert it from binary to text and save it as a text file that can be used to train a PyTorch neural network classifier.

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Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network

This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text data.

Preparing IMDB Movie Review Data for NLP Experiments

Dr. James McCaffrey of Microsoft Research shows how to get the raw source IMDB data, read the movie reviews into memory, parse and tokenize the reviews, create a vocabulary dictionary and convert the reviews to a numeric form.

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

Preparing MNIST Image Data Text Files

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems.

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Quantum-Inspired Annealing Using C# or Python

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics.

Edit Local Images/Text from a .NET MAUI Blazor Hybrid App

With .NET 6 and the latest Visual Studio 2022 preview, developers can create a hybrid Blazor/.NET MAUI app that can work with local machine resources in ways that ordinary Blazor (web) apps can't.

Chi-Square Test Using C#

A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data.

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How to Compute Transformer Architecture Model Accuracy

Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models.