Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View lalbrizzo's full-sized avatar
3 followers · 0 following

Block or report lalbrizzo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lalbrizzo/README.md

I am a data scientist with a background in theoretical physics. My current research lies in the field of machine learning applied to advertising with an emphasis on causal inference, mean field game theory and big data statistics.

While pursuing my Ph.D., I have focused my research on the modified theory of gravity, using large scale hydrodynamic simulation and Bayesian parameter inference.

Popular repositories Loading

  1. COVID-19-models-and-forecast- COVID-19-models-and-forecast- Public

    Jupyter Notebook 6

  2. statistical_computing_R statistical_computing_R Public

    This repository contains slides and codes from the Statistical computing lecture done at African Instute of Professional Development, in collaboration with Statistics without Borders

    R 1

  3. painted_dogs_research_trust painted_dogs_research_trust Public

    Statistics without Borders x Painted Dogs Research Trust

    Jupyter Notebook 1

  4. xlearn xlearn Public

    Forked from aksnzhy/xlearn

    High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

    C++

  5. lalbrizzo lalbrizzo Public

    Config files for my GitHub profile.

  6. introduction-reco-lagos-data-science introduction-reco-lagos-data-science Public

    ecture Introduction to Recommender Systems that I gave in August 2023 to the Data Science School: Industry Engagement and Applications organized by Department of Statistics of the University of Lag…

    Jupyter Notebook