Statistics has its own significance in data science, but it's not the only thing which data scientists have to deal with. Statistics are of two kinds “ Bayesian and Classical. When people start talking about statistics, they are most often talking about classical statistics; but understanding both is beneficial. When you focus more on machine learning algorithms and inferential … [Read more...] about Descriptive Statistics in Python for Understanding Your Machine Learning Data
statisticians
Statistics Denial Myths #13-14, Minimizing The Profession
"Leo Breiman was still a statistician, and while he critiques parts of his profession he's not dismissing the importance of statistics. The same can be said for David Donoho's excellent recent article, "50 Years of Data Science." The fact that some statisticians have too narrow a scope in no way diminishes the validity and importance of statistics to good decisions and valid … [Read more...] about Statistics Denial Myths #13-14, Minimizing The Profession
Why Statisticians Not Only Practice Within Traditional Statistics
"Ignoring Statistics means you aren't learning from the wisdom of others." Chris Howden "Statisticians are data scientists by definition but data scientists do not [all] have ... training." Daniele Medri Myth #2: Statisticians (and other quants), work within 'traditional statistics The myth that statisticians only practice within 'traditional statistics' removes or … [Read more...] about Why Statisticians Not Only Practice Within Traditional Statistics
