Eduard TyantovDeep Learning Achievements Over the Past YearGreat developments in text, voice, and computer vision technologiesDec 21, 201711Dec 21, 201711
Prasoon GoyalProbabilistic Graphical Models Tutorial — Part 2Parameter estimation and inference algorithmsNov 23, 20172Nov 23, 20172
Jay ShahNeural Networks for Beginners: Popular Types and ApplicationsAn introduction to neural networks learningNov 16, 20172Nov 16, 20172
Prasoon GoyalProbabilistic Graphical Models Tutorial — Part 1Basic terminology and the problem settingNov 2, 20177Nov 2, 20177
Daniil KorbutMachine Learning Algorithms: Which One to Choose for Your ProblemIntuition of using different kinds of algorithms in different tasksOct 26, 201714Oct 26, 201714
Varun AgrawalImproving Real-Time Object Detection with YOLOA new perspective for real-time object detectionOct 19, 20171Oct 19, 20171
Vadim SmolyakovBayesian NonparametricsAn introduction to the Dirichlet process and its applicationsOct 12, 20175Oct 12, 20175
Peter MillsSingular Value Decomposition (SVD) Tutorial: Applications, Examples, ExercisesA complete tutorial on the singular value decomposition methodOct 5, 20178Oct 5, 20178
Boris TvaroskaDevOps Pipeline for a Machine Learning ProjectApplying machine learning to DevOpsOct 3, 20174Oct 3, 20174
Peter MillsBayesian Learning for Statistical ClassificationA Bayesian introduction to statistical classification problemsSep 26, 20171Sep 26, 20171