Machine Learning / 02
Math & Statistics
Work through probability, descriptive statistics, distributions, sampling, and statistical testing.
This is a knowledge index. Published titles open their articles; the remaining entries outline planned coverage.
Probability
- 02.01
Probability Fundamentals
Planned guide: Probability Fundamentals. Focus on intuition, assumptions, and a worked example.
- 02.02
Conditional Probability
Planned guide: Conditional Probability. Focus on intuition, assumptions, and a worked example.
- 02.03
Joint Probability
Planned guide: Joint Probability. Focus on intuition, assumptions, and a worked example.
- 02.04
Marginal Probability
Planned guide: Marginal Probability. Focus on intuition, assumptions, and a worked example.
- 02.05
Bayes' Theorem
Planned guide: Bayes' Theorem. Focus on intuition, assumptions, and a worked example.
- 02.06
Probability vs Likelihood
Planned guide: Probability vs Likelihood. Focus on intuition, assumptions, and a worked example.
- 02.07
Maximum Likelihood Estimation
Planned guide: Maximum Likelihood Estimation. Focus on intuition, assumptions, and a worked example.
Descriptive Statistics
- 02.08
Mean, Median & Mode
Planned guide: Mean, Median & Mode. Focus on intuition, assumptions, and a worked example.
- 02.09
Variance
Planned guide: Variance. Focus on intuition, assumptions, and a worked example.
- 02.10
Standard Deviation
Planned guide: Standard Deviation. Focus on intuition, assumptions, and a worked example.
- 02.11
Percentiles
Planned guide: Percentiles. Focus on intuition, assumptions, and a worked example.
- 02.12
Covariance
Planned guide: Covariance. Focus on intuition, assumptions, and a worked example.
- 02.13
Correlation
Planned guide: Correlation. Focus on intuition, assumptions, and a worked example.
- 02.14
Pearson Correlation
Planned guide: Pearson Correlation. Focus on intuition, assumptions, and a worked example.
- 02.15
Spearman Correlation
Planned guide: Spearman Correlation. Focus on intuition, assumptions, and a worked example.
- 02.16
Correlation vs Causation
Planned guide: Correlation vs Causation. Focus on intuition, assumptions, and a worked example.
Distributions
- 02.17
Random Variables
Planned guide: Random Variables. Focus on intuition, assumptions, and a worked example.
- 02.18
Probability Distributions
Planned guide: Probability Distributions. Focus on intuition, assumptions, and a worked example.
- 02.19
Normal Distribution
Planned guide: Normal Distribution. Focus on intuition, assumptions, and a worked example.
- 02.20
Bernoulli Distribution
Planned guide: Bernoulli Distribution. Focus on intuition, assumptions, and a worked example.
- 02.21
Binomial Distribution
Planned guide: Binomial Distribution. Focus on intuition, assumptions, and a worked example.
- 02.22
Poisson Distribution
Planned guide: Poisson Distribution. Focus on intuition, assumptions, and a worked example.
Sampling
- 02.23
Population vs Sample
Planned guide: Population vs Sample. Focus on intuition, assumptions, and a worked example.
- 02.24
Sampling Techniques
Planned guide: Sampling Techniques. Focus on intuition, assumptions, and a worked example.
- 02.25
Sampling Bias
Planned guide: Sampling Bias. Focus on intuition, assumptions, and a worked example.
- 02.26
Central Limit Theorem
Planned guide: Central Limit Theorem. Focus on intuition, assumptions, and a worked example.
- 02.27
Standard Error
Planned guide: Standard Error. Focus on intuition, assumptions, and a worked example.
- 02.28
Confidence Intervals
Planned guide: Confidence Intervals. Focus on intuition, assumptions, and a worked example.
Statistical Testing
- 02.29
Hypothesis Testing
Planned guide: Hypothesis Testing. Focus on intuition, assumptions, and a worked example.
- 02.30
Null & Alternative Hypothesis
Planned guide: Null & Alternative Hypothesis. Focus on intuition, assumptions, and a worked example.
- 02.31
P-Values
Planned guide: P-Values. Focus on intuition, assumptions, and a worked example.
- 02.32
Significance Level
Planned guide: Significance Level. Focus on intuition, assumptions, and a worked example.
- 02.33
Type I & Type II Errors
Planned guide: Type I & Type II Errors. Focus on intuition, assumptions, and a worked example.
- 02.34
Statistical Power
Planned guide: Statistical Power. Focus on intuition, assumptions, and a worked example.
- 02.35
Z-Test
Planned guide: Z-Test. Focus on intuition, assumptions, and a worked example.
- 02.36
T-Test
Planned guide: T-Test. Focus on intuition, assumptions, and a worked example.
- 02.37
Chi-Square Test
Planned guide: Chi-Square Test. Focus on intuition, assumptions, and a worked example.
- 02.38
ANOVA
Planned guide: ANOVA. Focus on intuition, assumptions, and a worked example.
- 02.39
Two-Way ANOVA
Planned guide: Two-Way ANOVA. Focus on intuition, assumptions, and a worked example.
- 02.40
Parametric vs Non-Parametric Tests
Planned guide: Parametric vs Non-Parametric Tests. Focus on intuition, assumptions, and a worked example.
- 02.41
Choosing the Right Statistical Test
Planned guide: Choosing the Right Statistical Test. Focus on intuition, assumptions, and a worked example.