AI & ML
Mathematics
Minimum Description Length and Model Selection: Complete Guide 2025
Master Minimum Description Length (MDL) principle for model selection: understand Occam's razor, …
Jan 26, 2025 · 21 min read
Mathematics
AI & ML
Mathematics
Information Bottleneck: Understanding Deep Learning Through Information Theory 2025
Master the Information Bottleneck principle to understand deep neural network generalization, …
Jan 26, 2025 · 22 min read
AI & ML
Mathematics
Information Theory Fundamentals for Deep Learning: Complete Mathematical Guide 2025
Master information theory concepts essential for deep learning: entropy, mutual information, channel …
Jan 26, 2025 · 25 min read
AI-ML
Mathematics
PCA Deep Dive: Principal Component Analysis from Theory to Python Code
Master Principal Component Analysis (PCA) - understand the mathematics, implement from scratch in …
Jan 15, 2025 · 12 min read
AI-ML
Mathematics
SVD Explained: Singular Value Decomposition for Data Science
Master Singular Value Decomposition (SVD) - understand the math, implement from scratch, and apply …
Jan 15, 2025 · 9 min read
AI-ML
Mathematics
Understanding Eigenvalues and Eigenvectors in Machine Learning
Master eigenvalues and eigenvectors for ML - geometric intuition, mathematical foundations, PCA …
Jan 15, 2025 · 10 min read
AI-ML
Mathematics
Linear Algebra for Machine Learning: The Complete Beginner's Guide
Master linear algebra fundamentals for machine learning - vectors, matrices, operations, and …
Jan 15, 2025 · 13 min read
AI/ML
Mathematics
Second-Order Optimization Methods: Newton, Quasi-Newton, and L-BFGS for Machine Learning
Master second-order optimization methods for machine learning. Learn Newton's method, Quasi-Newton, …
Jan 15, 2024 · 14 min read
AI/ML
Mathematics
Information Theory: Entropy, Cross-Entropy, and KL Divergence
Master information theory for machine learning. Learn entropy, cross-entropy loss, KL divergence, …
Jan 15, 2024 · 16 min read
AI/ML
Mathematics
Covariance, Correlation, and Multivariate Distributions in ML
Master covariance matrices, correlation analysis, and multivariate distributions for machine …
Jan 15, 2024 · 13 min read
AI/ML
Mathematics
Convex Optimization for Machine Learning: From Lagrange to KKT Conditions
Master convex optimization fundamentals for machine learning. Learn convex functions, Lagrange …
Jan 15, 2024 · 14 min read
AI/ML
Mathematics
Statistical Inference for ML: Hypothesis Testing and Confidence Intervals
Master statistical inference for machine learning. Learn hypothesis testing, p-values, confidence …
Jan 15, 2024 · 15 min read
AI/ML
Mathematics
MLE vs MAP: Maximum Likelihood and Bayesian Parameter Estimation
Master MLE and MAP estimation for machine learning. Learn when to use each, mathematical …
Jan 15, 2024 · 13 min read
AI/ML
Mathematics
Bayes' Theorem Explained: From Basics to Bayesian Machine Learning
Master Bayes' theorem for machine learning. Learn prior, posterior, likelihood with intuitive …
Jan 15, 2024 · 15 min read
AI/ML
Mathematics
Probability Distributions for Machine Learning: Complete Guide
Master probability distributions essential for ML. Learn Gaussian, Bernoulli, Poisson, and more with …
Jan 15, 2024 · 15 min read
AI/ML
Mathematics
Calculus for Deep Learning: Derivatives, Gradients, and Chain Rule Explained
Master the calculus foundations for deep learning. Learn derivatives, gradients, partial …
Jan 15, 2024 · 15 min read