DataConf - For Data Scientists

AI&BIGDATA [#] Зареєструватися Головна 22 Great Articles About Statistics - For Data Scientists This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. The Fundamental Statistics Theorem Revisited 7 Traps to Avoid Being Fooled by Statistical Randomness Best way to get started in Statistics for Programmers The Most Common Analytical and Statistical Mistakes When Data Viz Trumps Statistics Data science versus statistics, to solve problems: case study Machine Learning Vs. Statistics Machine Learning vs. Traditional Statistics Difference between ML, Data Science, AI, Deep Learning, and Statistics Misuses of Statistics: Examples and Solutions 24 Uses of Statistical Modeling The Death of the Statistical Tests of Hypotheses 5 Free Statistics eBooks You Need to Read This Autumn Your Guide to Master Hypothesis Testing in Statistics Ten simple rules to use statistics effectively 10 Modern Statistical Concepts Discovered by Data Scientists 12 Statistical and ML Methods Data Scientists Should Know Book: Statistics for Non-Statisticians Data Science Has Been Using Rebel Statistics for a Long Time Statistics is Dead – Long Live Data Science… Data science without statistics is possible, even desirable Data Science: The End of Statistics? source: https://www.datasciencecentral.com #AIBDConference #dataconf © 2017 Copyright: Dataconf