Technical Journals

2022

“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

“Multi-Class Classification Using PyTorch: Defining a Network”, Visual Studio Magazine, December 2020 (Vol. 30, No. 12). Available online at https://visualstudiomagazine.com/articles/2020/12/15/pytorch-network.aspx

“Multi-Class Classification Using PyTorch: Preparing Data”, Visual Studio Magazine, December 2020 (Vol. 30, No. 12). Available online at https://visualstudiomagazine.com/articles/2020/12/04/multiclass-pytorch.aspx

“Binary Classification Using PyTorch: Model Accuracy”, Visual Studio Magazine, November 2020 (Vol. 30, No. 11). Available online at https://visualstudiomagazine.com/articles/2020/11/24/pytorch-accuracy.aspx

“Binary Classification Using PyTorch: Training”, Visual Studio Magazine, November 2020 (Vol. 30, No. 11). Available online at https://visualstudiomagazine.com/articles/2020/11/04/pytorch-training.aspx

“Binary Classification Using PyTorch: Defining a Network”, Visual Studio Magazine, October 2020 (Vol. 30, No. 10). Available online at https://visualstudiomagazine.com/articles/2020/10/14/pytorch-define-network.aspx

“Binary Classification Using PyTorch: Preparing Data”, Visual Studio Magazine, October 2020 (Vol. 30, No. 10). Available online at https://visualstudiomagazine.com/articles/2020/10/05/binary-classification-pytorch.aspx

“How to Create and Use a PyTorch DataLoader”, Visual Studio Magazine, September 2020 (Vol. 30, No. 9). Available online at https://visualstudiomagazine.com/articles/2020/09/10/pytorch-dataloader.aspx

“Data Prep for Machine Learning: Splitting”, Visual Studio Magazine, September 2020 (Vol. 30, No. 9). Available online at https://visualstudiomagazine.com/articles/2020/09/01/ml-data-prep-splitting.aspx

“Data Prep for Machine Learning: Encoding”, Visual Studio Magazine, August 2020 (Vol. 30, No. 8). Available online at https://visualstudiomagazine.com/articles/2020/08/12/ml-data-prep-encoding.aspx

“Data Prep for Machine Learning: Normalization”, Visual Studio Magazine, August 2020 (Vol. 30, No. 8). Available online at https://visualstudiomagazine.com/articles/2020/08/04/ml-data-prep-normalization.aspx

“Data Prep for Machine Learning: Outliers” Visual Studio Magazine, July 2020 (Vol. 30, No. 7). Available online at https://visualstudiomagazine.com/articles/2020/07/14/ml-data-prep-outliers.aspx

“Data Prep for Machine Learning: Missing Data”, Visual Studio Magazine, July 2020 (Vol. 30, No. 7). Available online at https://visualstudiomagazine.com/articles/2020/07/06/ml-data-preparation.aspx

“Working With PyTorch Tensors”, Visual Studio Magazine, June 2020 (Vol. 30, No. 6). Available online at https://visualstudiomagazine.com/articles/2020/06/09/working-with-pytorch.aspx

“Getting Started with PyTorch 1.5 on Windows”, Visual Studio Magazine, June 2020 (Vol. 30, No. 6). Available online at https://visualstudiomagazine.com/articles/2020/06/08/getting-started-pytorch.aspx

“Clustering Non-Numeric Data Using C#”, Visual Studio Magazine, May 2020 (Vol. 30, No. 5). Available online at https://visualstudiomagazine.com/articles/2020/06/03/clustering-non-numeric-data.aspx

“Data Clustering with K-Means++ Using C#”, Visual Studio Magazine, May 2020 (Vol. 30, No. 5). Available online at https://visualstudiomagazine.com/articles/2020/05/06/data-clustering-k-means.aspx

“How to Invert a Machine Learning Matrix Using C#”, Visual Studio Magazine, April 2020 (Vol. 30, No. 4). Available online at https://visualstudiomagazine.com/articles/2020/04/06/invert-matrix.aspx

“How to Do Kernel Logistic Regression Using C#”, Visual Studio Magazine, April 2020 (Vol. 30, No. 4). Available online at https://visualstudiomagazine.com/articles/2020/04/29/logistic-regression.aspx

“How to Create a Radial Basis Function Network Using C#”, Visual Studio Magazine, March 2020 (Vol. 30, No. 3). Available online at https://visualstudiomagazine.com/articles/2020/03/12/create-radial-basis-function.aspx

“How to Train a Machine Learning Radial Basis Function Network Using C#”, Visual Studio Magazine, March 2020 (Vol. 30, No. 3). Available online at https://visualstudiomagazine.com/articles/2020/03/19/train-radial-basis-function.aspx

“How to Do Multi-Class Logistic Regression Using C#”, Visual Studio Magazine, February 2020 (Vol. 30, No. 2). Available online at https://visualstudiomagazine.com/articles/2020/02/11/logistic-regression.aspx

“How to Do Machine Learning Evolutionary Optimization Using C#”, Visual Studio Magazine, February 2020 (Vol. 30, No. 2). Available online at https://visualstudiomagazine.com/articles/2020/02/21/evolutionary-optimization.aspx

“How to Compute Disorder for Machine Learning Decision Trees Using C#”, Visual Studio Magazine, January 2020 (Vol. 30, No. 1). Available online at https://visualstudiomagazine.com/articles/2020/01/21/decision-tree-disorder.aspx

“How to Create a Machine Learning Decision Tree Classifier Using C#”, Visual Studio Magazine, January 2020 (Vol. 30, No. 1). Available online at https://visualstudiomagazine.com/articles/2020/01/21/decision-tree-classifier.aspx

2019 and earlier – see Old Publications