2023
“Multi-Class Classification Using a scikit Neural Network”, Visual Studio Magazine, April 2023 (Vol. 33 No. 4). Available online at:
https://visualstudiomagazine.com/articles/2023/04/03/scikit-neural-network.aspx
“Multi-Class Classification Using a scikit Decision Tree”, Visual Studio Magazine, March 2023 (Vol. 33 No. 3). Available online at:
https://visualstudiomagazine.com/articles/2023/03/17/scikit-classification.aspx
“Naive Bayes Classification Using the scikit Library”, Visual Studio Magazine, March 2023 (Vol. 33 No. 3). Available online at:
https://visualstudiomagazine.com/articles/2023/03/01/naive-bayes-scikit.aspx
“Binary Classification Using a scikit Decision Tree”, Visual Studio Magazine, February 2023 (Vol. 33 No. 2). Available online at:
https://visualstudiomagazine.com/articles/2023/02/21/scikit-decision-tree.aspx
“Logistic Regression Using the scikit Library”, Visual Studio Magazine, February 2023 (Vol. 33 No. 2). Available online at:
https://visualstudiomagazine.com/articles/2023/02/01/scikit.aspx
“Logistic Regression from Scratch Using Raw Python”, Visual Studio Magazine, January 2023 (Vol. 33 No. 1). Available online at:
https://visualstudiomagazine.com/articles/2023/01/18/logistic-regression.aspx
“Multi-Class Classification Accuracy by Class Using PyTorch”, Visual Studio Magazine, January 2023 (Vol. 33 No. 1). Available online at:
https://visualstudiomagazine.com/articles/2023/01/03/accuracy-by-class.aspx
2022
“The Traveling Salesman Problem Using an Evolutionary Algorithm with C#”, Visual Studio Magazine, December 2022 (Vol. 32 No. 12). Available online at:https://visualstudiomagazine.com/articles/2022/12/20/traveling-salesman-problem.aspx.
“Simple Numerical Optimization Using an Evolutionary Algorithm with C#”, Visual Studio Magazine, December 2022 (Vol. 32 No. 12). Available online at:https://visualstudiomagazine.com/articles/2022/12/12/simple-numerical-optimization.aspx.
“Regression Using PyTorch New Best Practices, Part 2: Training, Accuracy, Predictions”, Visual Studio Magazine, November 2022 (Vol. 32 No. 11). Available online at:https://visualstudiomagazine.com/articles/2022/11/14/pytorch-regression-2.aspx.
“Regression Using PyTorch, Part 1: New Best Practices”, Visual Studio Magazine, November 2022 (Vol. 32 No. 11). Available online at: https://visualstudiomagazine.com/articles/2022/11/01/pytorch-regression.aspx.
“Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions”, Visual Studio Magazine, October 2022 (Vol. 32 No. 10). Available online at: https://visualstudiomagazine.com/articles/2022/10/14/binary-classification-using-pytorch-2.aspx.
“Binary Classification Using PyTorch, Part 1: New Best Practices”, Visual Studio Magazine, October 2022 (Vol. 32 No. 10). Available online at: https://visualstudiomagazine.com/articles/2022/10/05/binary-classification-using-pytorch.aspx.
“Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions”, Visual Studio Magazine, September 2022 (Vol. 32 No. 9). Available online at: https://visualstudiomagazine.com/articles/2022/09/12/multi-class-pytorch-2.aspx.
“Multi-Class Classification Using PyTorch, Part 1: New Best Practices”, Visual Studio Magazine, September 2022 (Vol. 32 No. 9). Available online at: https://visualstudiomagazine.com/articles/2022/09/06/multi-class-pytorch.aspx
“ANOVA Using C#”, Visual Studio Magazine, August 2022 (Vol. 32 No. 8). Available online at: https://visualstudiomagazine.com/articles/2022/08/17/anova-csharp.aspx
“The LogBeta and LogGamma Functions Using C#”, Visual Studio Magazine, August 2022 (Vol. 32 No. 8). Available online at: https://visualstudiomagazine.com/articles/2022/08/02/logbeta-loggamma-functions-csharp.aspx
“Lightweight Mathematical Combinations Using C#”, Visual Studio Magazine, July 2022 (Vol. 32 No. 7). Available online at: https://visualstudiomagazine.com/articles/2022/07/20/math-combinations-using-csharp.aspx
“Lightweight Mathematical Permutations Using C#”, Visual Studio Magazine, July 2022 (Vol. 32 No. 7). Available online at: https://visualstudiomagazine.com/articles/2022/07/05/lightweight-permutations-using-csharp.aspx
“Runs Testing Using C# Simulation”, Visual Studio Magazine, June 2022 (Vol. 32 No. 6). Available online at: https://visualstudiomagazine.com/articles/2022/06/17/runs-testing.aspx
“Probit Regression Using C#”, Visual Studio Magazine, June 2022 (Vol. 32 No. 6). Available online at: https://visualstudiomagazine.com/articles/2022/06/01/probit-regression.aspx
“Weighted k-NN Classification Using C#”, Visual Studio Magazine, May 2022 (Vol. 32 No. 5). Available online at: https://visualstudiomagazine.com/articles/2022/05/19/weighted-k-nn-classification.aspx
“Naive Bayes Classification Using C#”, Visual Studio Magazine, May 2022 (Vol. 32 No. 5). Available online at: https://visualstudiomagazine.com/articles/2022/05/02/naive-bayes-classification-csharp.aspx
“CIFAR-10 Image Classification Using PyTorch”, Visual Studio Magazine, April 2022 (Vol. 32 No. 4). Available online at: https://visualstudiomagazine.com/articles/2022/04/11/pytorch-image-classification.aspx
“Preparing CIFAR Image Data for PyTorch”, Visual Studio Magazine, April 2022 (Vol. 32 No. 4). Available online at: https://visualstudiomagazine.com/articles/2022/04/01/preparing-cifar-data.aspx
“Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network”, Visual Studio Magazine, March 2022 (Vol. 32 No. 3). Available online at: https://visualstudiomagazine.com/articles/2022/03/21/sentiment-classification-imdb.aspx
“Preparing IMDB Movie Review Data for NLP Experiments”, Visual Studio Magazine, March 2022 (Vol. 32 No. 3). Available online at: https://visualstudiomagazine.com/articles/2022/03/03/preparing-imdb-movie-data.aspx
“Convolutional Neural Networks for MNIST Data Using PyTorch”, Visual Studio Magazine, February 2022 (Vol. 32 No. 2). Available online at: https://visualstudiomagazine.com/articles/2022/02/15/convolutional-neural-networks.aspx
“Preparing MNIST Image Data Text Files”, Visual Studio Magazine, February 2022 (Vol. 32 No. 2). Available online at: https://visualstudiomagazine.com/articles/2022/02/01/preparing-mnist-image-data-text-files.aspx
“Quantum-Inspired Annealing Using C# or Python”, Visual Studio Magazine, January 2022 (Vol. 32 No. 1). Available online at: https://visualstudiomagazine.com/articles/2022/01/20/quantum-inspired-annealing.aspx
“Chi-Square Test Using C#”, Visual Studio Magazine, January 2022 (Vol. 32 No. 1). Available online at: https://visualstudiomagazine.com/articles/2022/01/03/chi-square-test.aspx
2021
“How to Compute Transformer Architecture Model Accuracy”, Visual Studio Magazine, December 2021 (Vol. 31 No. 12). Available online at: https://visualstudiomagazine.com/articles/2021/12/07/compute-ta-model-accuracy.aspx
“Simulated Annealing Optimization Using C# or Python”, Visual Studio Magazine, December 2021 (Vol. 31 No. 12). Available online at:
https://visualstudiomagazine.com/articles/2021/12/01/traveling-salesman.aspx
“How to Fine-Tune a Transformer Architecture NLP Model”, Visual Studio Magazine, November 2021 (Vol. 31 No. 11). Available online at:
https://visualstudiomagazine.com/articles/2021/11/16/fine-tune-nlp-model.aspx
“How to Create a Transformer Architecture Model for Natural Language Processing”, Visual Studio Magazine, November 2021 (Vol. 31 No. 11). Available online at:
https://visualstudiomagazine.com/articles/2021/11/03/transformer-architecture-model.aspx
“Anomaly Detection Using Principal Component Analysis (PCA)”, Visual Studio Magazine, October 2021 (Vol. 31 No. 10). Available online at: https://visualstudiomagazine.com/articles/2021/10/20/anomaly-detection-pca.aspx
“Ordinal Classification Using PyTorch”, Visual Studio Magazine, October 2021 (Vol. 31 No. 10). Available online at: https://visualstudiomagazine.com/articles/2021/10/04/ordinal-classification-pytorch.aspx
“Computing the Similarity Between Two Machine Learning Datasets”, Visual Studio Magazine, September 2021 (Vol. 31 No. 9). Available online at: https://visualstudiomagazine.com/articles/2021/09/20/dataset-similarity.aspx
“Differential Evolution Optimization”, Visual Studio Magazine, September 2021 (Vol. 31 No. 9). Available online at: https://visualstudiomagazine.com/articles/2021/09/07/differential-evolution-optimization.aspx
“Wasserstein Distance Using C# and Python”, Visual Studio Magazine, August 2021 (Vol. 31 No. 8). Available online at: https://visualstudiomagazine.com/articles/2021/08/16/wasserstein-distance.aspx
“Spiral Dynamics Optimization with Python”, Visual Studio Magazine, August 2021 (Vol. 31 No. 8). Available at https://visualstudiomagazine.com/articles/2021/08/02/spiral-dynamics-python.aspx.
“Sentiment Analysis Using a PyTorch EmbeddingBag Layer”, Visual Studio Magazine, July 2021 (Vol. 31, No. 7). Available online at: https://visualstudiomagazine.com/articles/2021/07/06/sentiment-analysis.aspx.
“Logistic Regression Using PyTorch with L-BFGS”, Visual Studio Magazine, June 2021 (Vol. 31, No. 6). Available online at: https://visualstudiomagazine.com/articles/2021/06/23/logistic-regression-pytorch.aspx.
“Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch”, June 2021 (Vol. 31, No. 6). Available online at: https://visualstudiomagazine.com/articles/2021/06/02/gan-pytorch.aspx.
“Positive and Unlabeled Learning (PUL) Using PyTorch”, Visual Studio Magazine, May 2021 (Vol. 31, No. 5). Available online at: https://visualstudiomagazine.com/articles/2021/05/20/pul-pytorch.aspx.
“Generating Synthetic Data Using a Variational Autoencoder with PyTorch”, Visual Studio Magazine, May 2021 (Vol. 31, No. 5). Available online at:
https://visualstudiomagazine.com/articles/2021/05/06/variational-autoencoder.aspx
“Autoencoder Anomaly Detection Using PyTorch”, Visual Studio Magazine, April 2021 (Vol. 31, No. 4). Available online at:
https://visualstudiomagazine.com/articles/2021/04/13/autoencoder-anomaly-detection.aspx
“How To: Create a Streaming Data Loader for PyTorch”, Visual Studio Magazine, April 2021 (Vol. 31, No. 4). Available online at:
https://visualstudiomagazine.com/articles/2021/04/01/pytorch-streaming.aspx
“Neural Regression Using PyTorch: Model Accuracy”, Visual Studio Magazine, March 2021 (Vol. 31, No. 3). Available online at
https://visualstudiomagazine.com/articles/2021/03/12/pytorch-model-accuracy.aspx
“Neural Regression Using PyTorch: Training”, Visual Studio Magazine, March 2021 (Vol. 31, No. 3). Available online at
https://visualstudiomagazine.com/articles/2021/03/03/pytorch-neural-regression.aspx
“Neural Regression Using PyTorch: Defining a Network”, Visual Studio Magazine, February 2021 (Vol. 31, No. 2). Available online at
https://visualstudiomagazine.com/articles/2021/02/11/pytorch-define.aspx
“Neural Regression Using PyTorch: Preparing Data”, Visual Studio Magazine, February 2021 (Vol. 31, No. 2). Available online at
https://visualstudiomagazine.com/articles/2021/02/02/pytorch-prepare.aspx
“Multi-Class Classification Using PyTorch: Model Accuracy”, Visual Studio Magazine, January 2021 (Vol. 31, No. 1). Available online at https://visualstudiomagazine.com/articles/2021/01/25/pytorch-model-accuracy.aspx
“Multi-Class Classification Using PyTorch: Training”, Visual Studio Magazine, January 2021 (Vol. 31, No. 1). Available online at https://visualstudiomagazine.com/articles/2021/01/04/pytorch-training.aspx
2020 and earlier – see Old Publications