How Ignoring Non-Linear Dependencies Can Sink Asset Risk Models: Enter Bayesian CopulasIn finance, models based on simple correlations often fail to capture the complex dependencies between assets, leading to underestimations…Oct 6Oct 6
Bayesian Modeling 201: Graduating to Gaussian Processes and Mastering Log Marginal Likelihood for…Many machine learning practitioners have inevitably maximized the log-likelihood function in order to obtain Maximum Likelihood Estimates…Jun 9Jun 9
Maximize Your Experimental Efficiency: The Hidden Power of KKT ConditionsKKT Conditions and Optimal Experiment Design: Beyond Support Vector MachinesMay 25May 25
Diving Deep Into the World of Embeddings: Unveiling Lesser-Known Statistical PropertiesA journey beyond techno-jargon Jun 7, 2023Jun 7, 2023
Unlocking the Power of Bijectors in TensorFlow Probability: Transforming Distributions and Beyond!Dive into the world of bijectors with TensorFlow Probability and unleash their potential to create complex and expressive probability…Apr 27, 2023Apr 27, 2023
Demystifying Bayesian Analysis in Julia Turing: A Whimsical Journey Through Advanced Techniques and…Hey there, fellow data enthusiasts! Have you ever found yourself drowning in the sea of probability distributions and wished for a…Apr 9, 20231Apr 9, 20231
How to Turn Your Failing Computations into Success StoriesThe result monad is a type of monad that is used to represent computations that may return a result or an error. It is often used as an…Dec 28, 20221Dec 28, 20221
Published inGeek CultureA bird’s-eye view of Google JAXIf I were to summarize what Google Jax is, I would say it’s a heterogeneous mixture of Functional programming (FP) style and differentiable…Jun 13, 20211Jun 13, 20211
Published inThe StartupKeep Your Types in CheckYou are not alone if you often get frustrated by “duck typing” in Python. By duck typing I mean if something walks like a duck and quacks…Sep 9, 2020Sep 9, 2020
Published inThe StartupMonad Transformer Is All You NeedHave your Monads shake hands with each otherJul 26, 2020Jul 26, 2020