Published inTowards Data ScienceAlgorithmic Solutions to Algorithmic Bias: A Technical GuideAdversarial de-biasing, variational “fair” autoencoders, dynamic data resampling, and more.Jun 18, 20196Jun 18, 20196
Published inTowards Data ScienceBeyond DQN/A3C: A Survey in Advanced Reinforcement LearningHierarchical RL, external memory stores, imagination-augmented agents, and more.Oct 1, 201812Oct 1, 201812
Published inNanoNetsTopic Modeling with LSA, PSLA, LDA & lda2VecFrom matrix factorization to deep learningMay 25, 201839May 25, 201839
Published inTowards Data ScienceDeep Learning for Object Detection: A Comprehensive ReviewFaster R-CNN, R-FCN, SSD, and more acronyms you can’t keep straightSep 11, 201730Sep 11, 201730
Published inTowards Data ScienceAn Intuitive Guide to Deep Network ArchitecturesResNet, Inception, and Xception explainedAug 14, 201713Aug 14, 201713
Published inTowards Data ScienceFunctional programming for deep learningThe what, why, and how: a Cortex deep learning model for anomaly detection in ClojureJun 29, 20176Jun 29, 20176
Published inStartup GrindMachines and Magic: Teaching Computers to Write Harry PotterDon’t worry, J.K. Rowling is still very much irreplaceableJul 3, 20165Jul 3, 20165