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A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB. What you'll learn: Descriptive statistics (mean, variance, etc)Inferential statisticsT-tests, correlation, ANOVA, regression, clusteringThe math behind the "black box" statistical methodsHow to implement statistical methods in codeHow to interpret statistics correctly and avoid common misunderstandingsCoding techniques in Python and MATLAB/OctaveMachine learning methods like clustering, predictive analysis, classification, and data cleaning Statistics and probability control your life. I don't just mean What YouTube's algorithm recommends...
Mike X Cohen
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