Day116 - STAT Review: Statistical Experiments and Significance Testing (3)
Practical Statistics for Data Scientists: t-Tests, Multiple Testing, False Discovery, and Degrees of Freedom
Practical Statistics for Data Scientists: t-Tests, Multiple Testing, False Discovery, and Degrees of Freedom
Practical Statistics for Data Scientists: p-Values, Practical Applications, and Type I & Type II Errors
Practical Statistics for Data Scientists: A/B Testing, Hypothesis Tests (One-Way & Two-Way), and Permutation Test
Practical Statistics for Data Scientists: t-Dist, Binomial, Chi-Square, F-Dist, and Poisson Distribution.
Practical Statistics for Data Scientists: Bootstrap, Confidence Intervals, and Normal Distribution
Practical Statistics for Data Scientists: Sampling, Bias, and Sampling Distribution(Central Limit Theorem)
Practical Statistics for Data Scientists: Data Distribution, Correlation, and Various Data Visualization Plots
Practical Statistics of Data Scientists: Elements of Statistical Terminologies- Data Statistics Fundamentals, Data Types, and Estimates of Location & Var...
The Ongoing Chronicles of TIL25 — A Motivating Expedition as a Data Scientist & AI/ML Engineer Candidate
HW5: Out-of-distribution (OOD) Detection (Maximum Softmax Probability & ODIN) and Continual Learning (SLDA & IID Streaming)