davemakowski Goto Github PK
Name: David Makowski
Type: User
Company: University Paris-Saclay & INRAE
Blog: https://scholar.google.fr/citations?hl=fr&user=vcnWi7IAAAAJ&view_op=list_works&sortby=pubdate
Name: David Makowski
Type: User
Company: University Paris-Saclay & INRAE
Blog: https://scholar.google.fr/citations?hl=fr&user=vcnWi7IAAAAJ&view_op=list_works&sortby=pubdate
Short introductory lecture on modelling in agro-ecology. The lecture presents different types of models, their interests, and their limits. It explains the main steps of a modelling project and provides several principles to become a "good" modeller. The repository also includes a figure illustrating the risk of overfitting a model (very common). The R code used to produce this figure is provided as well.
This course includes three parts: (1) Main principles of Bayesian statistics (Bayes rule, Prior, Likelihood, MCMC...), (2) Bayesian regression (model formulation, inference with MCMC), (3) Model evaluation.
Introductory courses and practical exercises on machine learning.
Application of simple Bayesian hierarchical models to assess the impact of climate change on wheat yields
R codes used in the paper "Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods"
This course presents several standard generalized linear models (GLM) and explain how GLM can be used to analyze categorical data. Methods for parameter estimation and model evaluation are decribed and several examples in agronomy and ecology are presented to illustrate key concepts. The course is available in the file GLM_2021.pdf.
This course introduces the basic concepts of statistical modelling.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.