distribution – Andrew Fairless, Ph.D.

What I Read: degree certainty

By Andrew Fairless on February 24, 2025November 9, 2024

https://blog.alexalemi.com/a-degree-of-certainty.html A Degree of CertaintyAlexander A. Alemi2024-08-14 “None of the common ways to measure proabilities are statistically uniform. What do I mean by this? Not all 1% changes in probabilityContinue readingWhat I Read: degree certainty

What I Read: probability generating

By Andrew Fairless on February 20, 2025November 9, 2024

https://entropicthoughts.com/probability-generating-functions Probability-Generating FunctionsChris2024-10-29 “I have long struggled with understanding what probability-generating functions are and how to intuit them. There were two pieces of the puzzle missing for me, and we’llContinue readingWhat I Read: probability generating

What I Read: Modern AI Art

By Andrew Fairless on March 6, 2023January 9, 2023

https://www.quantamagazine.org/the-physics-principle-that-inspired-modern-ai-art-20230105/ The Physics Principle That Inspired Modern AI ArtAnil AnanthaswamyJanuary 5, 2023 “Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink toContinue readingWhat I Read: Modern AI Art

What I Read: Generative Modeling by Estimating Gradients

By Andrew Fairless on March 7, 2022January 20, 2022

https://yang-song.github.io/blog/2021/score/ Generative Modeling by Estimating Gradients of the Data DistributionAuthor Yang SongDate May 5, 2021 “This blog post gives a detailed introduction to score-based generative models. We demonstrate that thisContinue readingWhat I Read: Generative Modeling by Estimating Gradients

What I Read: Scaling vs. Normalizing Data

By Andrew Fairless on April 19, 2021April 2, 2021

https://towardsai.net/p/data-science/scaling-vs-normalizing-data-5c3514887a84 Data ScienceScaling vs. Normalizing DataJanuary 10, 2021Author(s): Lawrence Alaso Krukrubo “Scaling and normalization are so similar that they’re often applied interchangeably, but as we’ve seen from the definitions, theyContinue readingWhat I Read: Scaling vs. Normalizing Data

What I Read: Adversarial generation of extreme samples

By Andrew Fairless on March 19, 2021March 7, 2021

https://aihub.org/2020/10/01/adversarial-generation-of-extreme-samples/ Adversarial generation of extreme samplesby Lucy SmithOctober 1, 2020 “…existing GAN-based methods tend to generate typical samples.. the authors seek to design deep learning-based models that can generate samplesContinue readingWhat I Read: Adversarial generation of extreme samples

What I Read: data distributions

By Andrew Fairless on January 1, 2021December 22, 2020

https://www.kdnuggets.com/2020/06/overview-data-distributions.html Overview of data distributionsTags: Binomial, Distribution, Normal Distribution, Poisson Distribution, Probability, StatisticsBy Madalina Ciortan, Data scientist, PhD researcher in bioinformatics at ULB “With so many types of data distributionsContinue readingWhat I Read: data distributions

What I Watch: Probabilities of probabilities binomial

By Andrew Fairless on December 18, 2020December 4, 2020

Which rating is better, mathematically speaking? | Probabilities of probabilities, part 1Mar 15, 20203Blue1Brown

Tag: distribution