<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>machine-learning on Flávio' Personal Page</title><link>https://fccoelho.github.io/tags/machine-learning/</link><description>Recent content in machine-learning on Flávio' Personal Page</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 01 Jun 2023 10:00:00 -0300</lastBuildDate><atom:link href="https://fccoelho.github.io/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Mosqlimate</title><link>https://fccoelho.github.io/project/mosqlimate/</link><pubDate>Thu, 01 Jun 2023 10:00:00 -0300</pubDate><guid>https://fccoelho.github.io/project/mosqlimate/</guid><description>About Mosqlimate is a data science platform designed to produce usable forecasts of dengue burden, incorporating all available data sources with special attention to the impact of future climate trends.
Goals Develop forecasting models for dengue incidence Integrate climate and epidemiological data Ensure reproducibility of the entire forecasting pipeline Track data, model source code, and predictions Funding This project is funded by the Wellcome Trust.</description></item></channel></rss>