CausalNex New Release
Published:
My colleagues at QB and I have added some cool features to CausalNex and written a short medium post highlighting the changes.
Posts by Tags
Bayesian Inference
Bayesian Optimization
Improving neural network performance using Bayesian optimization
Published:
My colleagues at Logivan and I wrote a blog post on Bayesian Optimization that can be found here
Convolutional neural network
[Notes] Shapes of CNN
Published:
Since the size of input after convolving, padding and max-pooling can be tricky, I believe having a formula sheet that keeps track of the shape after each operation will come in handy. So, here we go.
Intro
My first post
Published:
Notes and essays about Statistics, Machine Learning, and Algorithms coming soon …
Variational Inference
[Notes] Bayesian Probit Regression
Published:
Consider the Bayesian probit regression model
causalnex
CausalNex New Release
Published:
My colleagues at QB and I have added some cool features to CausalNex and written a short medium post highlighting the changes.
opensource
CausalNex New Release
Published:
My colleagues at QB and I have added some cool features to CausalNex and written a short medium post highlighting the changes.