richard CorbishleyPrincipal Components Analysis (PCA)For this example, we’ll make a noisy line y = mx + c. Run with these first: they produce acceptable graphing results.Jun 16, 2019Jun 16, 2019
richard CorbishleyC++ extensions for python3Integrating C/C++ with python allows the best of two worlds, rapid development capability of python and performance of compiled software…May 3, 2019May 3, 2019
richard CorbishleyRegularizationIt is possible to build a model that represents the training data perfectly. If a predictive or discriminatory function is desired, the…Aug 24, 2018Aug 24, 2018
richard CorbishleyLinear Regression using pytorch ( part 3 — huge datasets )This builds on Linear Regression part 1Aug 18, 2018Aug 18, 2018
richard CorbishleyLinear Regression using pytorch ( part 2, fitting non-linear data)This builds on Linear Regression part 1Aug 18, 2018Aug 18, 2018
richard CorbishleyLinear Regression using pytorch (part 1)Linear regression is one of the must have tools in any data scientists toolkit. It attempts to fit the input data using a solution like:Aug 18, 2018Aug 18, 2018
richard CorbishleySample GAN using pytorchA Generative Adversarial Network (GAN) is a pair of learning engines that learn from each other. A useful analogy is to think of a forger…Aug 17, 20181Aug 17, 20181