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emiruz.com | ||
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r-video-tutorial.blogspot.com
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| | | | | Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic result... | |
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rgoswami.me
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| | | | | Setup details are described here, and the meta-post about these solutions is here. Materials The summmer course1 is based off of the second edition of Statistical Rethinking by Richard McElreath. This post covers the following exercise questions: Chapter 2 Easy {1,2,3,4} Medium {1,2,4} Chapter 3 Easy {1,2,3,4,5} Medium {1,2,3,4,6} Chapter 4 Easy {1,2,3,4,5} Medium {1,2,3,4,5,6,7} Packages 1libsUsed<-c("tidyverse","tidybayes","orgutils", 2 "rethinking","tidybayes.rethinking", 3 "ggplot2","kableExtra","dplyr","glue", 4 "latex2exp","data.table","printr") 5invisible(lapply(libsUsed, library, character.only = TRUE)); We also set the following theme parameters for the plots. | |
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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johanneslederer.com
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| | | Ali, Pegah, and Milena just returned from the World Congress in Probability and Statistics, where they showcased our work on mathematical machine learning and AI. They also brought a lot of inspiration and motivation back home to Hamburg. Welcome back! We are proud that you are such great ambassadors for our team. | ||
