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Links • Max Halford

maxhalford.github.io · 3,582 words · saved by 1 readers

Papers PhD - Statistical learning for selectivity estimation in relational databases (manuscript, slides) Selectivity correction with online machine learning - BDA 2020 Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks - TLDKS 2020 An Approach Based on Bayesian Networks for Query Selectivity Estimation - DASFAA, 2019 Entropic Variable Projection for Explainability and Intepretability - 2018 Master 2 year internship at HelloFresh (report, slides) Master 1 year internship at Privateaser (report, slides) Undergraduate internship at INSA Toulouse (report, slides) Detailed solutions to the first 30 Project Euler problems Talks Online machine learning with River - GAIA, 2022 (slides, recording) Online machine learning in practice - PyData PDX, 2022 Real-time machine learning: the next frontier?

Table of contents Smart people Tim Salimans on Data Analysis Randal Olson Sam & Max - French and NSFW! Sebastian Raschka Clean Coder Pythonic Perambulations Erik Bernhardsson otoro Terra Incognita Real Python Airbnb Engineering No Free Hunch The Unofficial Google Data Science Blog will wolf Edwin Chen Use the index, Luke! Jack Preston Agustinus Kristiadi DataGenetics Katherine Bailey Netflix Research inFERENce Hyndsight - Rob Hyndman is a time series specialist. While My MCMC Gently Samples Ines Montani - by one of the founders of spaCy . Stephen Smerity Peter Norvig IT Best Kept Secret Is Opt

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