I’m really glad that I was given the opportunity to incorporate this material into my regression class for LinkedIn Learning. I truly believe that regression is the topic that we think we’ve all mastered but that often has not revealed all of its secrets. In this lecture, I explain that if you really want to understand neural networks you have to compare them to regression.
New discussion topic / wiki page describing challenges for traditional frequentist statistics that are readily solved by Bayes: https://discourse.datamethods.org/t/bayesian-solutions-for-challenges-to-frequentist-statistics #rmscourse #bbrcourse @vandy_biostat @VUDataScience @EdgeforScholars
A new episode of The Artists of Data Science is live! Check out “The Algorithms of Emotional Intelligence | Gilbert Eijkelenboom” at http://fireside.fm/s/eac_-KT9+eSOS-Ef8
IBM recently released v27 of #SPSS Statistics which introduces several additional analysis procedures as well as new system enhancements. In this report we take a tour of some of the most valuable improvements that have been made. https://www.sv-europe.com/blog/whats-new-in-ibm-spss-statistics-v27/