Even with increasingly better computational tools, such as MCMC, models based on conjugate distributions are advantageous.Beta-BinomialOne of the better known…
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Game of Modes: Diverse Trajectory Forecasting with Pushforward Distributions
Here is another figure from the paper to illustrate this:Pushing forward a base distribution to a trajectory distribution.If the simulator…
Continue ReadingUsing Markov Chain Monte Carlo method for project estimation
In particular, we are interested in finding the number of story points we can complete in one iteration with 95%…
Continue ReadingBayesian Convolutional Neural Networks with Bayes by Backprop
This results in the subsequent equation for convolutional layer activations b:where ϵj ∼ N(0, 1), Ai is the receptive field,…
Continue ReadingProbability and Statistics explained in the context of deep learning
Probability and Statistics explained in the context of deep learningPhoto by Josh Appel on UnsplashThis article is intended for beginners in deep…
Continue ReadingPredicting the task duration based on a range
We discussed that we can fit the estimates (both for the Agile and Waterfall projects) to a Log-Normal distribution, which…
Continue ReadingReceiver Operating Characteristic Curves Demystified (in Python)
The model performance is determined by looking at the area under the ROC curve (or AUC)..To create this, probability distribution,…
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