Engineering reference for Indian students

Math & statistics

Probability & Statistics

5 self-contained study topics — notes, diagrams, formulas, and worked examples for exams and GATE.

Topics

Probability Distributions
For B.Tech exams, probability distributions is tested for definition plus one direct derivation or numerical; align notation with Bishop (Pattern Recognition and Machine Learning).
$Poisson models rare events: \lambda = rate \times time$
Expectation and Variance
For B.Tech exams, expectation and variance is tested for definition plus one direct derivation or numerical; align notation with Goodfellow, Bengio & Courville (Deep Learning).
Sampling and Estimation
For B.Tech exams, sampling and estimation is tested for definition plus one direct derivation or numerical; align notation with Tan, Steinbach & Kumar (Introduction to Data Mining).
Hypothesis Testing
For B.Tech exams, hypothesis testing is tested for definition plus one direct derivation or numerical; align notation with Tom Mitchell (Machine Learning).
Regression Basics
For B.Tech exams, regression basics is tested for definition plus one direct derivation or numerical; align notation with Bishop (Pattern Recognition and Machine Learning).