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Deep Learning / Data Science / Machine Learning / Probability / Stats - Dec'2019
Semantic Segmentation (TDS)
GANs (MLWhize)
LSTMs (ArXiV)
Probs & Info Theory (adhiraiyan.org)
Global Constraint Catalog (Sofdem
SRE Metrics that Matter (ACM)
Pandas pipelines with pdpipe (KDnuggets)
Ultralearning Ds: optimization learning, Part 3 (KDnuggets)
Model Retraining (Mlinproduction)
Stochastic Processes (UTexas)
linear cost exponential gain
stochastic-hill-climbing (Unawiz.github.io)
Handbook of Statistical Practice (Jerry Dallal)
Feature Importance (Sam Taylor)