Potpourri: Statistics #95

1786. Data Vis Dispatch: April 4, April 11, April 18, April 251787. Mastering the Many Models Approach1788. A Survey of Large Language Models1789. Balancing Classes in Classification Problems1790. Plot Prediction Interval in R using ggplot21791. Julia's latency: Past, present and future1792. A User’s Guide to Statistical Inference and Regression1793. Why the Cross-Lagged Panel Model Is Almost Never the Right Choice1794. Deep Learning and Scientific Computing with R torch1795. Hello Deep Learning1796. Using fixed and random effects models for panel data in Python1797. What we learned from creating a custom graphics package in R using ggplot21798. Nonresponse rates on open-ended survey questions vary by demographic group, other factors1799. How we review code at Pew Research Center1800. Bayesian Regression: Theory & Practice1801. An Introduction to Data Analysis1802. Perfect Bar Charts in 150 Seconds1803. What are people commenting about their loaded packages?1804. Introducing rtlr - an R Package for RTL Languages1805. How to Modify Variables the Right Way in R1806. {surveydown}: An open source, markdown-based survey framework (that doesn’t exist yet)1807. A data analyst workflow, part 1: SQL & tidyverse1808. On Efficient Training of Large-Scale Deep Learning Models: A Literature Review1809. Dependently Typing R Vectors, Arrays, and Matrices1810. Tidyteam code review principles1811. The tidymodels is getting a whole lot faster1812. Making maps with R1813. Preventing common misconceptions about Bayes Factors1814. A Course in Machine Learning1815. Unleash the Power of Functional Programming in R with the purrr Package1816. Deep Learning Is Better Than Linear Regression1817. Dev containers with R and Quarto1818. Styling Tables for Excel with {styledTables}1819. Deep Learning1820. Writing performant code with tidy tools1821. Unlocking the Power of Machine Learning: A Beginner’s Guide to Understanding Algorithms and Models1822. Charting Our Adventures: How I Created a Personalized Map with R, JavaScript, and more1823. Differences between the base R and magrittr pipes1824. Can you have confidence in a confidence interval?1825. Detecting heart murmurs from time series data in R1826. What are the differences between R's new native pipe |\> and the magrittr pipe %\>%?1827. Julia for biologists1828. The Statistics That Come Out of Nowhere1829. The Practical Guides for Large Language Models1830. The Little Book of Deep Learning

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