Old Publications

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

“How to Do Machine Learning Perceptron Classification Using C#”, Visual Studio Magazine, December 2019 (Vol. 29, No. 12). Available online at https://visualstudiomagazine.com/articles/2020/01/07/perceptron-classification.aspx

“Mixture Model Clustering Using C#”, MSDN Magazine, November 2019 (Vol. 34, No. 11), pp. 50-55. Available online at
https://docs.microsoft.com/en-us/archive/msdn-magazine/2019/november/test-run-mixture-model-clustering-using-csharp

“How to Work with C# Vectors and Matrices for Machine Learning”, Visual Studio Magazine, November 2019 (Vol. 29, No. 11). Available online at https://visualstudiomagazine.com/articles/2019/11/07/charp-vectors-ml.aspx

“How to Do Naive Bayes with Numeric Data Using C#”, Visual Studio Magazine, November 2019 (Vol. 29, No. 11). Available online at https://visualstudiomagazine.com/articles/2019/11/12/naive-bayes-csharp.aspx

“Neural Binary Classification Using PyTorch”, MSDN Magazine, October 2019 (Vol. 34, No. 10), pp. 55-60. Available online at
https://docs.microsoft.com/en-us/archive/msdn-magazine/2019/october/test-run-neural-binary-classification-using-pytorch

“How to Do Logistic Regression Using ML.NET”, Visual Studio Magazine, October 2019 (Vol. 29, No. 10). Available online at https://visualstudiomagazine.com/articles/2019/10/17/logistic-regression-mlnet.aspx

“Getting Started with AutoML for ML.NET”, Visual Studio Magazine, September 2019 (Vol. 29, No. 9). Available online at https://visualstudiomagazine.com/articles/2019/09/30/automl-mlnet.aspx

“The UCB1 Algorithm for Multi-Armed Bandit Problems”, MSDN Magazine, August 2019 (Vol. 34, No. 8), pp. 58-63. Available online at https://docs.microsoft.com/en-us/archive/msdn-magazine/2019/august/test-run-the-ucb1-algorithm-for-multi-armed-bandit-problems.

“How to Do Neural Network Glorot Initialization Using Python”, Visual Studio Magazine, August 2019 (Vol. 29, No. 8). Available online at https://visualstudiomagazine.com/articles/2019/09/05/neural-network-glorot.aspx

“Create a Machine Learning Prediction System Using AutoML”, MSDN Magazine, July 2019 (Vol. 34, No. 7), pp. 34-38. Available online at https://msdn.microsoft.com/en-us/magazine/mt833480.

“How To Code Modern Neural Networks using Python and NumPy”, Visual Studio Magazine, July 2019 (Vol. 29, No. 7). Available online at https://visualstudiomagazine.com/articles/2019/07/01/modern-neural-networks.aspx.

“Test Run: Simplified Naive Bayes Classification Using C#”, MSDN Magazine, June 2019 (Vol. 34, No. 6), pp. 50-53. Available online at https://msdn.microsoft.com/en-us/magazine/mt833465.

“How to Do Thompson Sampling Using Python”, Visual Studio Magazine, June 2019 (Vol. 29, No. 6). Available online at https://visualstudiomagazine.com/articles/2019/06/01/thompson-sampling.aspx.

“Test Run: Weighted k-NN Classification Using C#”, MSDN Magazine, May 2019 (Vol. 34, No. 5), pp. 50-53. Available online at https://msdn.microsoft.com/en-us/magazine/mt833446.

“Naive Bayes Classification Using Python”, Visual Studio Magazine, May 2019 (Vol. 29, No. 5). Available online at https://visualstudiomagazine.com/articles/2019/05/01/naive-bayes-classification.aspx.

“Test Run: Neural Anomaly Detection Using PyTorch”, MSDN Magazine, April 2019 (Vol. 34, No. 4), pp. 50-54. Available online at https://msdn.microsoft.com/en-us/magazine/mt833411.

“Weighted k-NN Classification Using Python”, Visual Studio Magazine, April 2019 (Vol. 29, No. 4). Available online at https://visualstudiomagazine.com/articles/2019/04/01/weighted-k-nn-classification.aspx.

“Test Run: Neural Regression Using PyTorch”, MSDN Magazine, March 2019 (Vol. 34, No. 3), pp. 48-54. Available online at https://msdn.microsoft.com/en-us/magazine/mt833293.

“Support Vector Machine Using C#”, MSDN Magazine, March 2019 (Vol. 34, No. 3), pp. 36-41. Available online at https://msdn.microsoft.com/en-us/magazine/mt833291.

“Neural Anomaly Detection Using Keras”, Visual Studio Magazine, March 2019 (Vol. 29, No. 3). Available online at https://visualstudiomagazine.com/articles/2019/03/01/neural-anomaly-detection-using-keras.aspx.

“Test Run: Rating Competitors Using Infer.NET”, MSDN Magazine, February 2019 (Vol. 34, No. 2), pp. 50-54. Available online at https://msdn.microsoft.com/en-us/magazine/mt833275.

“Support Vector Machines Using Accord.NET”, Visual Studio Magazine, February 2019 (Vol. 29, No. 2). Available online at https://visualstudiomagazine.com/articles/2019/02/01/support-vector-machines.aspx.

“Test Run: Self-Organizing Maps Using C#”, MSDN Magazine, January 2019 (Vol. 34, No. 1), pp. 50-54. Available online at https://msdn.microsoft.com/en-us/magazine/mt848708.

“Introduction to PyTorch on Windows”, MSDN Magazine, January 2019 (Vol. 34, No. 1), pp. 16-22. Available online at https://msdn.microsoft.com/en-us/magazine/mt848704.

“Self-Organizing Maps Using Python”, Visual Studio Magazine, January 2019 (Vol. 29, No. 1). Available online at https://visualstudiomagazine.com/articles/2019/01/01/self-organizing-maps-python.aspx.

2018

“Logistic Regression Using Python”, Visual Studio Magazine, January 2018 (Vol. 28, No. 1). Available online at https://visualstudiomagazine.com/articles/2018/01/04/logistic-regression.aspx.

“Machine Learning – Deep Neural Network Classifiers Using CNTK”, MSDN Magazine, February 2018 (Vol. 33, No. 1), pp. 30-36. Available online at https://msdn.microsoft.com/en-us/magazine/mt829273.

“Test Run: Thompson Sampling Using C#”, MSDN Magazine, February 2018 (Vol. 33, No. 2), pp. 58-62. Available online at https://msdn.microsoft.com/en-us/magazine/mt829274.

“Neural Network Time Series Regression Using Python”, Visual Studio Magazine, February 2018 (Vol. 28, No. 2). Available online at https://visualstudiomagazine.com/articles/2018/02/02/neural-network-time-series.aspx.

“Test Run: Neural Binary Classification Using CNTK”, MSDN Magazine, March 2018 (Vol. 33, No. 3), pp. 60-63. Available online at https://msdn.microsoft.com/en-us/magazine/mt845655.

“Neural Network Dropout Using Python”, Visual Studio Magazine, March 2018 (Vol. 28, No. 3). Available online at https://visualstudiomagazine.com/articles/2018/02/01/neural-network-dropout.aspx.

“Test Run: Understanding LSTM Cells using C#”, MSDN Magazine, April 2018 (Vol. 33, No. 4), pp. 58-61. Available online at https://msdn.microsoft.com/en-us/magazine/mt846470.

“Clustering Non-Numeric Data using Python”, Visual Studio Magazine, April 2018 (Vol. 28, No. 4). Available online at https://visualstudiomagazine.com/articles/2018/04/01/clustering-non-numeric-data.aspx.

“Introduction to Keras with TensorFlow”, Visual Studio Magazine, May 2018 (Vol. 28, No. 5). Available online at https://visualstudiomagazine.com/articles/2018/05/01/inroduction-to-keras.aspx.

“Test Run: Neural Regression using CNTK”, MSDN Magazine, June 2018 (Vol. 33, No. 6), pp. 48-53. Available online at https://msdn.microsoft.com/en-us/magazine/mt846729.

“DNN Image Classification using Keras”, Visual Studio Magazine, June 2018 (Vol. 28, No. 6). Available online at https://visualstudiomagazine.com/articles/2018/06/21/dnn-image-classification-using-keras.aspx.

“Machine Learning with IoT Devices on the Edge”, MSDN Magazine, July 2018 (Vol. 33, No. 7), pp. 15-21. Available online at https://msdn.microsoft.com/en-us/magazine/mt847186.

“Test Run: Introduction to DNN Image Classification using CNTK”, MSDN Magazine, July 2018 (Vol. 33, No. 7), pp. 46-52. Available online at https://msdn.microsoft.com/en-us/magazine/mt847190.

“Neural Regression using Keras”, Visual Studio Magazine, July 2018 (Vol. 28, No. 7). Available online at https://visualstudiomagazine.com/articles/2018/07/23/neural-regression-using-keras.aspx.

“Test Run: Introduction to Q-Learning Using C#”, MSDN Magazine, August 2018 (Vol. 33, No. 8), pp. 56-60. Available online at https://msdn.microsoft.com/en-us/magazine/mt829710.

“Neural Binary Classification using Keras”, Visual Studio Magazine, August 2018 (Vol. 28, No. 8). Available online at https://visualstudiomagazine.com/articles/2018/08/30/neural-binary-classification-keras.aspx.

“Test Run: Sentiment Analysis Using CNTK”, MSDN Magazine, October 2018 (Vol. 33, No. 10), pp. 50-53. Available online at https://msdn.microsoft.com/en-us/magazine/mt830362.

“Q-Learning Using Python”, Visual Studio Magazine, October 2018 (Vol. 28, No. 10). Available online at https://visualstudiomagazine.com/articles/2018/10/18/q-learning-with-python.aspx.

“Test Run: Introduction to the ML.NET Library”, MSDN Magazine, November 2018 (Vol. 33, No. 11), pp. 48-53. Available online at https://msdn.microsoft.com/en-us/magazine/mt830377.

“Sentiment Analysis Using Keras”, Visual Studio Magazine, November 2018 (Vol. 28, No. 11). Available online at https://visualstudiomagazine.com/articles/2018/11/01/sentiment-analysis-using-keras.aspx.

“Test Run: Autoencoders for Visualization Using CNTK”, MSDN Magazine, December 2018 (Vol. 33, No. 12), pp. 52-54. Available online at https://msdn.microsoft.com/en-us/magazine/mt832864.

“ML.NET: The Machine Learning Framework for .NET Developers”, MSDN Magazine Special Issue, December 2018 (Vol. 33, No. 13), pp. 24-30. Available online at https://msdn.microsoft.com/en-us/magazine/mt848634.

“Image Classification Using Keras”, Visual Studio Magazine, December 2018 (Vol. 28, No. 12). Available online at https://visualstudiomagazine.com/articles/2018/12/01/image-classification-keras.aspx.

2017

“R Language OOP using S3”, Visual Studio Magazine, January 2017 (Vol. 27, No. 1). Available online at https://visualstudiomagazine.com/articles/2017/01/01/r-language-oop-using-s3.aspx.

“Exploring the Microsoft CNTK Machine Learning Tool”, MSDN Magazine, January 2017 (Vol. 32, No. 1), pp. 46-55. Available online at https://msdn.microsoft.com/en-us/magazine/mt791798.

“Data Clustering using R”, Visual Studio Magazine, February 2017 (Vol. 27, No. 2). Available online at https://visualstudiomagazine.com/articles/2017/02/01/data-clustering-using-r.aspx.

“Test Run: The Sign Test using C#”, MSDN Magazine, February 2017 (Vol. 32, No. 2), pp. 54-59. Available online at https://msdn.microsoft.com/en-us/magazine/mt793273.

“Factor Analysis using R”, Visual Studio Magazine, March 2017 (Vol. 27, No. 3). Available online at https://visualstudiomagazine.com/articles/2017/03/01/revealing-secrets-r-factor-statistics.aspx.

“Test Run: Chi-Squared Goodness of Fit using C#”, MSDN Magazine, March 2017 (Vol. 32, No. 3), pp. 56-61. Available online at https://msdn.microsoft.com/en-us/magazine/mt795190.aspx.

“R Language OOP using S4”, Visual Studio Magazine, April 2017 (Vol. 27, No. 4). Available online at https://visualstudiomagazine.com/articles/2017/04/01/r-s4-demo.aspx.

“Test Run: Kernel Perceptrons using C#”, MSDN Magazine, April 2017 (Vol. 32, No. 4), pp. 42-48. Available online at https://msdn.microsoft.com/en-us/magazine/mt797653.

“Neural Networks using Python and NumPy”, Visual Studio Magazine, May 2017 (Vol. 27, No. 5). Available online at https://visualstudiomagazine.com/articles/2017/05/01/python-and-numpy.aspx.

“Test Run: Restricted Boltzmann Machines using C#”, MSDN Magazine, June 2017 (Vol. 32, No. 6), pp. 54-58. Available online at https://msdn.microsoft.com/en-us/magazine/mt809120.

“Neural Network Back-Propagation using Python”, Visual Studio Magazine, June 2017 (Vol. 27, No. 6). Available online at https://visualstudiomagazine.com/articles/2017/06/01/back-propagation.aspx.

“Introduction to the Microsoft CNTK v2.0 Library”, MSDN Magazine, July 2017 (Vol. 32, No. 7), pp. 22-28. Available online at https://msdn.microsoft.com/en-us/magazine/mt784662.

“Neural Network Cross Entropy Error using Python”, Visual Studio Magazine, July 2017 (Vol. 27, No. 7). Available online at https://visualstudiomagazine.com/articles/2017/07/01/cross-entropy.aspx.

“Test Run: Deep Neural Network IO using C#”, MSDN Magazine, August 2017 (Vol. 32, No. 8), pp. 58-64. Available online at https://msdn.microsoft.com/en-us/magazine/mt493293.

“Neural Network Momentum using Python”, Visual Studio Magazine, August 2017 (Vol. 27, No. 8). Available online at https://visualstudiomagazine.com/articles/2017/08/01/neural-network-momentum.aspx.

“Test Run: Deep Neural Training”, MSDN Magazine, September 2017 (Vol. 32, No. 9), pp. 52-56. Available online at https://msdn.microsoft.com/en-us/magazine/mt842505.

“Neural Network L2 Regularization using Python”, Visual Studio Magazine, September 2017 (Vol. 27, No. 9). Available online at https://visualstudiomagazine.com/articles/2017/09/01/neural-network-l2.aspx.

“Test Run: Time Series Regression using a Neural Network”, MSDN Magazine, October 2017 (Vol. 32, No. 10), pp. 64-67. Available online at https://msdn.microsoft.com/en-us/magazine/mt842505.

“Neural Network Batch Training using Python”, Visual Studio Magazine, October 2017 (Vol. 27, No. 10). Available online at https://visualstudiomagazine.com/articles/2017/10/01/batch-training.aspx.

“Test Run: Kernel Logistic Regression Using C#”, MSDN Magazine, November 2017 (Vol. 32, No. 11), pp. 66-69. Available online at https://msdn.microsoft.com/en-us/magazine/mt845620.

“Test Run – Understanding k-NN Classification Using C#”, MSDN Magazine, December 2017 (Vol. 32, No. 12), pp. 64-67. Available online at https://msdn.microsoft.com/en-us/magazine/mt814421.

“Neural Network L1 Regularization Using Python”, Visual Studio Magazine, December 2017 (Vol. 27, No. 12). Available online at https://visualstudiomagazine.com/articles/2017/12/05/neural-network-regularization.aspx.

2016

“Linear Regression with R”, Visual Studio Magazine, January 2016 (Vol. 26, No. 1). Available online at https://visualstudiomagazine.com/articles/2016/01/01/linear-regression-with-r.aspx.

“Test Run: Roach Infestation Optimization”, MSDN Magazine, February 2016 (Vol. 31, No. 2), pp. 56-64. Available online at https://msdn.microsoft.com/en-us/magazine/mt632275.

“Fundamentals of T-Test using R”, Visual Studio Magazine, February 2016 (Vol. 26, No. 2). Available online at https://visualstudiomagazine.com/articles/2016/02/01/fundamentals-of-t-test-using-r.aspx.

“Introduction to SciPy Programming for C# Developers”, MSDN Magazine, March 2016 (Vol. 31, No. 3), pp. 42-50. Available online at https://msdn.microsoft.com/en-us/magazine/mt683799.aspx.

“Test Run: Neural Network Regression”, MSDN Magazine, March 2016 (Vol. 31, No. 3), pp. 56-60. Available online at https://msdn.microsoft.com/en-us/magazine/mt683800.aspx.

“Chi-Square Tests using R”, Visual Studio Magazine, March 2016 (Vol. 26, No. 3). Available online at https://visualstudiomagazine.com/articles/2016/03/01/chisquare-tests-using-r.aspx.

“Classic Stats, or What ANOVA with R is all About”, Visual Studio Magazine, April 2016 (Vol. 26, No. 4). Available online at https://visualstudiomagazine.com/articles/2016/05/01/anova-with-r.aspx.

“Test Run: The Multi-Armed Bandit Problem”, MSDN Magazine, May 2016 (Vol. 31, No. 5), pp. 66-70. Available online at https://msdn.microsoft.com/en-us/magazine/mt703439.aspx.

“Program-Defined Functions in R”, Visual Studio Magazine, May 2016 (Vol. 26, No. 5). Available online at https://visualstudiomagazine.com/articles/2016/04/01/program-defined-functions-in-r.aspx.

“Test Run: Introduction to Prediction Markets”, MSDN Magazine, June 2016 (Vol. 31, No. 6), pp. 54-59. Available online at https://msdn.microsoft.com/en-us/magazine/mt707531.asp.

“How the R Language Does OOP”, Visual Studio Magazine, June 2016 (Vol. 26, No. 6). Available online at https://visualstudiomagazine.com/articles/2016/06/01/how-the-r-language-does-oop.aspx.

“Test Run: Matrix Inversion using C#”, MSDN Magazine, July 2016 (Vol. 31, No. 7), pp. 58-61. Available online at https://msdn.microsoft.com/magazine/mt736457.

“Permutations using R”, Visual Studio Magazine, July 2016 (Vol. 26, No. 7). Available online at https://visualstudiomagazine.com/articles/2016/07/01/permutations-using-r.aspx.

“Test Run: Lightweight Random Number Generation”, MSDN Magazine, August 2016 (Vol. 31, No. 8), pp. 64-68. Available online at https://msdn.microsoft.com/magazine/mt767700.

“R Language Basic Data Structures”, Visual Studio Magazine, August 2016 (Vol. 26, No. 8). Available online at https://visualstudiomagazine.com/articles/2016/08/01/r-language-basic-data-structures.aspx.

“Test Run: The Secretary Problem”, MSDN Magazine, September 2016 (Vol. 31, No. 9), pp. 56-61. Available online at https://msdn.microsoft.com/magazine/mt763238.

“R Language Searching and Sorting”, Visual Studio Magazine, September 2016 (Vol. 26, No. 9). Available online at https://visualstudiomagazine.com/articles/2016/09/01/r-language-searching-and-sorting.aspx.

“Test Run: ANOVA with C#”, MSDN Magazine, October 2016 (Vol. 31, No. 10), pp. 62-66. Available online at https://msdn.microsoft.com/magazine/mt742873.

“The Results are in — the Sign Test using R”, Visual Studio Magazine, October 2016 (Vol. 26, No. 10). Available online at https://visualstudiomagazine.com/articles/2016/10/01/sign-test-using-r.aspx.

“Create Interactive Geo-Applications using Bing Maps 8”, MSDN Magazine, October 2016 (Vol. 31, No. 10), pp. 36-43. Available online at https://msdn.microsoft.com/magazine/mt742870.

“Neural Networks using the R nnet Package”, Visual Studio Magazine, November 2016 (Vol. 26, No. 11). Available online at https://visualstudiomagazine.com/articles/2016/11/01/using-the-r-nnet-package.aspx.

“Test Run: Solving Sudoku using Combinatorial Evolution”, MSDN Magazine, November 2016 (Vol. 31, No. 11), pp. 58-62. Available online at https://msdn.microsoft.com/magazine/mt788626.

“Logistic Regression using R”, Visual Studio Magazine, December 2016 (Vol. 26, No. 12). Available online at https://visualstudiomagazine.com/articles/2016/12/01/logistic-regression-using-r.aspx.

2015

“Test Run: Logistic Regression Classification with Multi-Swarm Optimization”, MSDN Magazine, January 2015 (Vol. 30, No. 1), pp. 74-78. Available online at http://msdn.microsoft.com/en-us/magazine/dn890377.aspx.

“Neural Network Lab: Multi-Swarm Optimization for Neural Networks using C#”, Visual Studio Magazine, January 20, 2015 (Vol. 25, No. 1). Available online at http://visualstudiomagazine.com/articles/2015/01/01/multi-swarm-optimization.aspx.

“Test Run: L1 and L2 Regularization for Machine Learning”, MSDN Magazine, February 2015 (Vol. 30, No. 2), pp. 64-69. Available online at https://msdn.microsoft.com/en-us/magazine/dn904675.aspx.

“Neural Network Lab: Using Multi-Swarm Training on Your Neural Networks”, Visual Studio Magazine, February 4, 2015 (Vol. 25, No. 2). Available online at http://visualstudiomagazine.com/articles/2015/02/01/using-multi-swarm-training.aspx.

“Test Run: Gradient Descent Training using C#”, MSDN Magazine, March 2015 (Vol. 30, No. 3), pp. 68-73. Available online at https://msdn.microsoft.com/en-us/magazine/dn913188.aspx.

“Neural Network Lab: How to use Resilient Back-Propagation to Train Neural Networks”, Visual Studio Magazine, March 9, 2015 (Vol. 25, No. 3). Available online at https://visualstudiomagazine.com/articles/2015/03/01/resilient-back-propagation.aspx.

“Test Run: Multi-Class Logistic Regression Classification”, MSDN Magazine, April 2015 (Vol. 30, No. 4), pp. 70-74. Available online at https://msdn.microsoft.com/en-us/magazine/dn948113.aspx.

“Neural Network Lab: Coding Neural Network Back-Propagation using C#”, Visual Studio Magazine, April 14, 2015 (Vol. 25, No. 4). Available online at https://visualstudiomagazine.com/articles/2015/04/01/back-propagation-using-c.aspx.

“Neural Network Lab: Neural Network Train-Validate-Test Stopping”, Visual Studio Magazine, May 13, 2015 (Vol. 25, No. 5). Available online at https://visualstudiomagazine.com/articles/2015/05/01/train-validate-test-stopping.aspx.

“Test Run: Firefly Algorithm Optimization”, MSDN Magazine, June 2015 (Vol. 30, No. 6), pp. 72-77. Available online at https://msdn.microsoft.com/en-us/magazine/mt147244.aspx.

“Customize Neural Networks with Alternative Activation Functions”, Visual Studio Magazine, June 2015 (Vol. 25, No. 6). Available online at https://visualstudiomagazine.com/articles/2015/06/01/alternative-activation-functions.aspx.

“Introduction to R for C# Programmers”, MSDN Magazine, July 2015 (Vol. 30, No. 7), pp. 70-75. Available online at https://msdn.microsoft.com/en-us/magazine/mt238409.aspx.

“Test Run: Linear Regression using C#”, MSDN Magazine, July 2015 (Vol. 30, No. 7), pp. 76-79. Available online at https://msdn.microsoft.com/en-us/magazine/mt238410.aspx.

“Mini-Batch Neural Network Training”, Visual Studio Magazine, July 2015 (Vol. 25, No. 7). Available online at https://visualstudiomagazine.com/articles/2015/07/01/variation-on-back-propagation.aspx.

“Test Run: K-Means++ Data Clustering”, MSDN Magazine, August 2015 (Vol. 30, No. 8), pp. 62-68. Available online at https://msdn.microsoft.com/en-us/magazine/mt185575.aspx.

“Neural Network Binary Classification”, Visual Studio Magazine, August 2015 (Vol. 25, No. 8). Available online at https://visualstudiomagazine.com/articles/2015/08/01/neural-network-binary-classification.aspx.

“Test Run: Computing with Artificial Spiking Neurons”, MSDN Magazine, September 2015 (Vol. 30, No. 9), pp. 70-73. Available online at https://msdn.microsoft.com/en-us/magazine/mt422587.aspx.

“How to Reuse Neural Network Models”, Visual Studio Magazine, September 2015 (Vol. 25, No. 9). Available online at https://visualstudiomagazine.com/articles/2015/09/01/how-to-reuse-neural-network-models.aspx.

“Test Run: Linear Discriminate Analysis using C#”, MSDN Magazine, October 2015 (Vol. 30, No. 10), pp. 64-67. Available online at https://msdn.microsoft.com/en-us/magazine/mt573718.aspx.

“Step Up to Recurrent Neural Networks”, Visual Studio Magazine, October 2015 (Vol. 25, No. 10). Available online at https://visualstudiomagazine.com/articles/2015/10/01/recurrent-neural-networks.aspx.

“Test Run: The T-Test using C#”, MSDN Magazine, November 2015 (Vol. 30, No. 11), pp. 56-59. Available online at https://msdn.microsoft.com/en-us/magazine/mt620016.aspx.

“Neural Network Parameter Sweeps”, Visual Studio Magazine, November 2015 (Vol. 25, No. 11). Available online at https://visualstudiomagazine.com/articles/2015/11/01/parameter-sweeps.aspx.

“Test Run: Introduction to Spark for .NET Developers”, MSDN Magazine, December 2015 (Vol. 30, No. 12), pp. 64-69. Available online at https://msdn.microsoft.com/en-us/magazine/mt595756.aspx.

“Introduction to R for .NET Developers”, Visual Studio Magazine, December 2015 (Vol. 25, No. 12). Available online at https://visualstudiomagazine.com/articles/2015/12/01/introduction-to-r.aspx.

2014

“Test Run: Frequent Item-Sets for Association Rule Learning”, MSDN Magazine, January 2014 (Vol. 29, No. 1), pp. 70-74. Available online at http://msdn.microsoft.com/en-us/magazine/dn519928.aspx.

“Neural Network Lab: How to Standardize Data for Neural Networks”, Visual Studio Magazine, January 2014 (Vol. 24, No. 1). Available online at http://visualstudiomagazine.com/articles/2014/01/01/how-to-standardize-data-for-neural-networks.aspx.

“Neural Network Lab: Evolutionary Optimization using C#”, Visual Studio Magazine, February 2014 (Vol. 24, No. 2). Available online at http://visualstudiomagazine.com/articles/2014/02/01/evolutionary-optimization-using-c.aspx.

“Asynchronous TCP Sockets as an Alternative to WCF”, MSDN Magazine, March 2014 (Vol. 29, No. 3), pp. 26-33. Available online at http://msdn.microsoft.com/en-us/magazine/dn605876.aspx.

“Neural Network Lab: Training using Evolutionary Optimization”, Visual Studio Magazine, March 2014 (Vol. 24, No. 3). Available online at http://visualstudiomagazine.com/articles/2014/03/01/code-an-evolutionary-optimization-solution.aspx.

“Neural Network Lab: Cross Entropy Error”, Visual Studio Magazine, April 2014 (Vol. 24, No. 4). Available online at http://visualstudiomagazine.com/articles/2014/04/01/neural-network-cross-entropy-error.aspx.

“Test Run: Association Rule Learning”, MSDN Magazine, May 2014 (Vol. 29, No. 5), pp. 56-62. Available online at http://msdn.microsoft.com/en-us/magazine/dn683798.aspx.

“Neural Network Lab: Neural Network Dropout Training”, Visual Studio Magazine, May 2014 (Vol. 24, No. 5). Available online at http://visualstudiomagazine.com/articles/2014/05/01/neural-network-dropout-training.aspx.

“Test Run: Working with the MNIST Image Recognition Data Set”, MSDN Magazine, June 2014 (Vol. 29, No. 6), pp. 68-71. Available online at http://msdn.microsoft.com/en-us/magazine/dn745868.aspx.

“Neural Network Lab: Deep Neural Networks: A Getting Started Tutorial”, Visual Studio Magazine, June 2014 (Vol. 24, No. 6). Available online at http://visualstudiomagazine.com/articles/2014/06/01/deep-neural-networks.aspx.

“Test Run: Distorting the MNIST Image Data Set”, MSDN Magazine, July 2014 (Vol. 29, No. 7), pp. 48-51. Available online at http://msdn.microsoft.com/en-us/magazine/dn754573.aspx.

“Neural Network Lab: Neural Network Weight Decay and Restriction”, Visual Studio Magazine, July 2014 (Vol. 24, No. 7). Available online at http://visualstudiomagazine.com/articles/2014/07/01/weight-decay-and-restriction.aspx.

“Test Run: Solving Sudoku Puzzles using the MSF Library”, MSDN Magazine, August 2014 (Vol. 29, No. 8), pp. 50-54. Available online at http://msdn.microsoft.com/en-us/magazine/dn759446.aspx.

“Neural Network Lab: Understanding Neural Network Batch Training: A Tutorial”, Visual Studio Magazine, August 2014 (Vol. 24, No. 8). Available online at http://visualstudiomagazine.com/articles/2014/08/01/batch-training.aspx.

“Microsoft Azure: Introduction to Machine Learning Studio”, MSDN Magazine, September 2014 (Vol. 29, No. 9), pp. 43-47. Available online at: http://msdn.microsoft.com/en-us/magazine/dn781358.aspx.

“Test Run: Winnow Classification using C#”, MSDN Magazine, September 2014 (Vol. 29, No. 9), pp. 64-68. Available online at http://msdn.microsoft.com/en-us/magazine/dn781362.aspx.

“Neural Network Lab: Creating Neural Networks using Azure Machine Learning Studio”, Visual Studio Magazine, September 2014 (Vol. 24, No. 9). Available online at http://visualstudiomagazine.com/articles/2014/09/01/azure-machine-learning-studio.aspx.

“Test Run: Probit Classification using C#”, MSDN Magazine, October 2014 (Vol. 29, No. 10), pp. 64-68. Available online at http://msdn.microsoft.com/en-us/magazine/dn802608.aspx.

“Neural Network Lab: Neural Network Training using Simplex Optimization”, Visual Studio Magazine, October 2014 (Vol. 24, No. 10). Available online at http://visualstudiomagazine.com/articles/2014/10/01/simplex-optimization.aspx.

“Test Run: Consensus Classification using C#”, MSDN Magazine, November 2014 (Vol. 29, No. 11), pp. 54-58. Available online at http://msdn.microsoft.com/en-us/magazine/dn818500.aspx.

“Neural Network Lab: Use Python with your Neural Networks”, Visual Studio Magazine, November 2014 (Vol. 24, No. 11). Available online at http://visualstudiomagazine.com/articles/2014/11/01/use-python-with-your-neural-networks.aspx.

“Speech Recognition with .NET Desktop Applications”, MSDN Magazine, December 2014 (Vol. 29, No. 12), pp. 42-51. Available online at http://msdn.microsoft.com/en-us/magazine/dn857362.aspx.

“Neural Network Lab: Neural Network Back-Propagation using Python”, Visual Studio Magazine, December 2014 (Vol. 24, No. 12). Available online at http://visualstudiomagazine.com/articles/2014/12/01/back-propagation-using-python.aspx.

“Test Run: Fireworks Algorithm Optimization”, MSDN Magazine, December 2014 (Vol. 29, No. 12), pp. 64-67. Available online at http://msdn.microsoft.com/en-us/magazine/dn857364.aspx.

2013

“Test Run: Artificial Immune Systems for Intrusion Detection”, MSDN Magazine, January 2013 (Vol. 28, No. 1), pp. 68-72. Available online at http://msdn.microsoft.com/en-us/magazine/jj883960.aspx.

“Test Run: Naive Bayes Classification with C#”, MSDN Magazine, February 2013 (Vol. 28, No. 2), pp. 70-74. Available online at http://msdn.microsoft.com/en-us/magazine/jj891056.aspx.

“Data Clustering: Detecting Abnormal Data using k-Means Clustering”, MSDN Magazine, February 2013 (Vol. 28, No. 2), pp. 54-62. Available online at http://msdn.microsoft.com/en-us/magazine/jj891054.aspx.

“Data Clustering using Entropy Minimization”, Visual Studio Magazine, February 2013 (Vol. 23, No. 2), Available online at http://visualstudiomagazine.com/Articles/2013/02/01/Data-Clustering-Using-Entropy-Minimization.aspx.

“Data Clustering using Naive Bayes Inference”, MSDN Magazine, March 2013 (Vol. 28, No. 3), pp. 74-79. Available online at http://msdn.microsoft.com/en-us/magazine/jj991980.aspx.

“Neural Network Lab: Modeling Neuron Behavior in C#”, Visual Studio Magazine, March 2013 (Vol. 23, No. 3), Available online at http://visualstudiomagazine.com/articles/2013/03/01/pattern-recognition-with-perceptrons.aspx.

“Neural Network Lab: Classification using Perceptrons”, Visual Studio Magazine, April 2013 (Vol. 23, No. 4), Available online at http://visualstudiomagazine.com/articles/2013/04/01/classification-using-perceptrons.aspx.

“Classification and Prediction using Adaptive Boosting”, MSDN Magazine, April 2013 (Vol. 28, No. 4), pp. 68-72. Available online at http://msdn.microsoft.com/en-us/magazine/dn166933.aspx.

“Test Run: Data Clustering using Category Utility”, MSDN Magazine, May 2013 (Vol. 28, No. 5), pp. 76-80. Available online at http://msdn.microsoft.com/en-us/magazine/dn198247.aspx.

“Shortest Path Analysis using a CLR Stored Procedure”, MSDN Magazine, May 2013 (Vol. 28, No. 5), pp. 68-74. Available online at http://msdn.microsoft.com/en-us/magazine/dn198246.aspx.

“Neural Network Lab: The Neural Network Input-Process-Output Mechanism”, Visual Studio Magazine, May 2013 (Vol. 23, No. 5). Available online at http://visualstudiomagazine.com/articles/2013/05/01/neural-network-feed-forward.aspx.

“Test Run: Amoeba Method Optimization using C#”, MSDN Magazine, June 2013 (Vol. 28, No. 6), pp. 76-81. Available online at http://msdn.microsoft.com/en-us/magazine/dn201752.aspx.

“Neural Network Lab: Neural Network Activation Functions in C#”, Visual Studio Magazine, June 2013 (Vol. 23, No. 5). Available online at http://visualstudiomagazine.com/Articles/List/Neural-Network-Lab.aspx.

“Generating Distinct, Random Array Indices”, Visual Studio Magazine, July 2013 (Vol. 23, No. 6). Available online at http://visualstudiomagazine.com/articles/2013/07/01/generating-distinct-random-array-indices.aspx.

“Neural Network Lab: Neural Network Data Normalization and Encoding”, Visual Studio Magazine, July 2013 (Vol. 23, No. 6). Available online at http://visualstudiomagazine.com/articles/2013/07/01/neural-network-data-normalization-and-encoding.aspx.

“Test Run: Converting Numeric Data to Categorical Data”, MSDN Magazine, August 2013 (Vol. 28, No. 8), pp. 68-72. Available online at http://msdn.microsoft.com/en-us/magazine/dn342876.aspx.

“Neural Network Lab: Neural Network Back-Propagation using C#”, Visual Studio Magazine, August 2013 (Vol. 23, No. 8). Available online at http://visualstudiomagazine.com/articles/2013/08/01/neural-network-back-propagation-using-c.aspx.

“Test Run: Multi-Swarm Optimization”, MSDN Magazine, September 2013 (Vol. 28, No. 9), pp. 68-72. Available online at http://msdn.microsoft.com/en-us/magazine/dn385711.aspx.

“Neural Network Lab: Neural Network Training using Back-Propagation”, Visual Studio Magazine, September 2013 (Vol. 23, No. 9). Available online at http://visualstudiomagazine.com/articles/2013/09/01/neural-network-training-using-back-propagation.aspx.

“Test Run: Radial Basis Function Networks for Programmers”, MSDN Magazine, October 2013 (Vol. 28, No. 10), pp. 68-72. Available online at http://msdn.microsoft.com/en-us/magazine/dn451445.aspx.

“Neural Network Lab: Understanding and Using K-Fold Cross-Validation for Neural Networks”, Visual Studio Magazine, October 2013 (Vol. 23, No. 10). Available online at http://visualstudiomagazine.com/articles/2013/10/01/understanding-and-using-kfold.aspx.

“Test Run: Implementing the National Institute of Standards and Technology Tests of Randomness using C#”, MSDN Magazine Special Government Issue, October 2013, pp. 14-22. Available online at http://pdf.101com.com/MDN/2013/701920561/MDN_1310DSA.pdf.

“Neural Network Lab: Particle Swarm Optimization using C#”, Visual Studio Magazine, November 2013 (Vol. 23, No. 11). Available online at http://visualstudiomagazine.com/articles/2013/11/01/particle-swarm-optimization.aspx.

“Test Run: Radial Basis Function Network Training”, MSDN Magazine, November 2013 (Vol. 28, No. 11), pp. 12-16. Available online at http://msdn.microsoft.com/en-us/magazine/dn532201.aspx.

“K-Means Clustering using C#”, Visual Studio Magazine, December 2013 (Vol. 23, No. 12). Available online at http://visualstudiomagazine.com/articles/2013/12/01/k-means-data-clustering-using-c.aspx.

“Neural Network Lab: Neural Network Training using Particle Swarm Optimization”, Visual Studio Magazine, December 2013 (Vol. 23, No. 12). Available online at http://visualstudiomagazine.com/articles/2013/12/01/neural-network-training-using-particle-swarm-optimization.aspx.

2012 and earlier – see Archive