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Machine Learning Notes
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📚 Learning Plan
📊 Mathematical Foundations
📊 Mathematical Foundations
Overview
Linear Algebra for ML
Calculus and Gradient Descent
Asymptotic Analysis Theory
🔗 Engineering and Data Structures
🔗 Engineering and Data Structures
Overview
Data Structures
Data Structures
Arrays
Arrays
Arrays Overview
Dynamic Arrays
Array Problems
Linked Lists
Linked Lists
Linked Lists Overview
Implementation
Problems
Stacks
Stacks
Stacks Overview
Implementation
Problems
Queues
Queues
Queues Overview
Implementation
Problems
Hash Tables
Hash Tables
Hash Tables Overview
Hash Functions & Collisions
Python Dictionaries
Python Dictionary Operations
Sets and Python Sets Overview
Python Set Operations
String Operations
Hash Table Problems
Recursion
Recursion
Recursion Fundamentals
Recursive Algorithms
Recursion vs Iteration
Common Recursive Patterns
Algorithms
Algorithms
Search Algorithms
Search Algorithms
Search Overview
Binary Search
Binary Search Variations
Search Problems
Sorting Algorithms
Sorting Algorithms
Sorting Overview
Sorting Problems
Algorithmic Patterns
Algorithmic Patterns
Two Pointers
Two Pointers
Two Pointers Overview
Opposite Direction
Same Direction
Two Pointers Problems
Sliding Window
Sliding Window
Sliding Window Overview
Fixed Size Window
Variable Size Window
Sliding Window Problems
Problem Solving
Problem Solving
Set & Dictionary Problems
Set & Dictionary Problems
Array Intersection
Non-Repeating Elements
Unique Elements
Anagram Pairs
String Problems
String Problems
Unique Strings
Resources
Resources
Common Patterns
Time Complexity Guide
Interview Strategies
MIT 6.006 Templates
📈 Probability & Statistics
📈 Probability & Statistics
Probability & Markov
Probability & Markov
Overview
Bayes' Rule
Naive Bayes
Joint & Marginal
🤖 ML Fundamentals
🤖 ML Fundamentals
Overview
Feature Engineering
Feature Engineering
Data Types & Normalization
Categorical Encoding
Feature Crosses
Model Evaluation
Model Evaluation
Evaluation Methods
Metrics & Validation
Hyperparameter Tuning
Regularization
Regularization
Overfitting & Underfitting
L1/L2 Regularization
Early Stopping
Classical Algorithms
Classical Algorithms
Linear Regression
Logistic Regression
Decision Trees
Unsupervised Learning
Unsupervised Learning
K-Nearest Neighbors
K-Means Clustering
💬 Language Models & NLP
💬 Language Models & NLP
N-gram Language Modeling
Information Theory
🧠Neural Networks & Deep Learning
🧠Neural Networks & Deep Learning
Overview
Perceptron Algorithm
âš¡ Attention & Transformers
âš¡ Attention & Transformers
Overview
Attention Fundamentals
Attention Fundamentals
Overview
Mathematics
Self-Attention
Self-Attention
Overview
Multi-Head Attention
Multi-Head Attention
Overview
Positional Encoding
Positional Encoding
Overview
Transformer Architecture
Transformer Architecture
Overview
Transformer Variants
Transformer Variants
BERT & GPT
🚀 Projects & Integration
🚀 Projects & Integration
Integration and Project
Residual Connections
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