M CHODeep Neural NetworkFirst, machine learning had to get developed. ML is a framework to automate (through algorithms) statistical models to get better at making…Sep 16Sep 16
M CHOPrincipal Components Analysis (PCA)Principal Components Analysis (PCA) is a method to identify a new set of predictors, as linear combinations of the original ones, that…Sep 10Sep 10
M CHOSupport Vector MachinesSVM is highly preferred by many as it produces significant accuracy with less computation power. SVM can be used for both regression and…Aug 27Aug 27
M CHOLogistic RegressionLogistic regression is a model that is very well suited to problems where we have a binary output. That is, we are trying to use certain…Jul 29Jul 29
M CHOTensorflow light - Optimization Techniques on mobile and embedded devicesThere are several methods that one can use to achieve these types of optimizations and these include quantization, which reduces the…Jul 22Jul 22
M CHOBayesian OptimizationBayesian Optimization concerns the problem of maximizing expensive black-box functions.Jul 20Jul 20
M CHONaive BayseNaive Bayes is a machine learning algorithm that leverages probabilistic methods and techniques for solving supervised learning problems…Mar 19Mar 19
M CHOEnsemble treesAn alternative approach to avoid overfitting that is often more powerful than tree pruning: tree ensembles.Mar 11Mar 11