RoboSathi
About
Notes
Notes
Maths
Probability
Introduction to Probability
Conditional Probability
Independence of Events
Cumulative Distribution Function
Probability Mass Function
Probability Density Function
Expectation
Moment Generating Function
Joint & Marginal
Independent & Identically Distributed
Convergence
Law of Large Numbers
Markov's Inequality
Cross Entropy & KL Divergence
Parametric Model Estimation
Statistics
Data Distribution
Correlation
Central Limit Theorem
Confidence Interval
Hypothesis Testing
T-Test
Z-Test
Chi-Square Test
Performance Metrics
Linear Algebra
Vector Fundamentals
Matrix Operations
Eigen Value Decomposition
Principal Component Analysis
Singular Value Decomposition
Vector & Matrix Calculus
Vector Norms
Hyperplane
Calculus
Calculus Fundamentals
Optimization
Gradient Descent
Newton's Method
Notes
Machine Learning
Unsupervised Learning
Unsupervised Learning
Unsupervised Machine Learning
less than a minute
End of Section