Welcome to the delicious irony of learning AI: your goal is to become a competent engineer who can teach machines to do cool stuff, but here's the kicker, don't learn FROM AI while learning how to MAKE AI learn.
We're drowning in the age of multi-source paralysis, where people never start because there are too many resources, then AI swoops in like an overenthusiastic friend doing your homework while you watch Netflix. Suddenly we're all convinced we're learning while the AI does the thinking. Plot twist: you're not learning; you're becoming an intellectual couch potato.
Prerequisites: Your brain. That's it. I might permit a calculator, those ancient relics with actual buttons, but GPT, Claude, or any AI assistant? Absolutely not. We're going full analog, like our ancestors did in the dark ages of... 2010.
Learn the hard way. Struggle through derivations by hand, debug with print statements, calculate gradients until your calculator dies. Why? Because there's a difference between being a chef who creates masterpieces from scratch and someone who can only reheat frozen dinners. Both fill your stomach, but only one feeds your understanding.
In the chess game of human vs. AI, don't let the machine win by forfeit. Become skilled enough to teach it, and maybe keep winning a few games yourself.
Important Notice: This repository contains my personal learning notes and implementations created for educational purposes. The content represents my understanding at various stages of learning and may contain errors or oversimplifications.
For Beginners: If you're also learning AI, feel free to follow along, but remember to cross-reference with authoritative sources and don't rely solely on these notes.
| Emoji | Level | Description |
|---|---|---|
| 🔥 | Must Learn | Absolutely essential - skip this at your own peril |
| ⭐ | Recommended | Highly valuable - will make your journey significantly smoother |
| 💡 | Optional | Nice to have - useful but not critical for getting started |
Here's your roadmap through the mathematical wilderness, because jumping straight into neural networks without calculus is like trying to perform brain surgery with a butter knife, technically possible, but inadvisable.
🔥 Basic Algebra & Pre-Calculus
│
🔥 Discrete Mathematics
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Single Variable 🔥 Logic & Proofs 🔥 Sets & Functions
Calculus │ │
│ 🔥 Boolean Algebra 🔥 Relations
🔥 Derivatives │ │
│ ⭐ Propositional ⭐ Equivalence
🔥 Integrals Logic Relations
│ │ │
└───────────────────┼───────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Multivariable ⭐ Graph Theory 💡 Combinatorics
Calculus │ │
│ ⭐ Trees & Networks 💡 Counting
🔥 Partial Derivatives │ Principles
│ ⭐ Algorithms on │
🔥 Multiple Integrals Graphs 💡 Permutations &
│ │ Combinations
⭐ Vector Fields │ │
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Vector Calculus
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Gradient & ⭐ Line & Surface 💡 Green's & Stokes'
Divergence Integrals Theorems
│ │ │
⭐ Curl & Del ⭐ Vector Fields 💡 Divergence Theorem
Operator │ │
│ 💡 Conservative 💡 Applications to
💡 Directional Fields Physics
Derivatives │ │
│ │ │
└───────────────────┼───────────────────┘
│
═══ The Convergence Point ═══
│
🔥 Linear Algebra
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Matrices & 🔥 Vector Spaces 🔥 Eigenvalues &
Determinants │ Eigenvectors
│ 🔥 Linear │
🔥 Matrix Operations Independence 🔥 Diagonalization
│ │ │
🔥 Gaussian 🔥 Basis & ⭐ Singular Value
Elimination Dimension Decomposition
│ │ │
└───────────────────┼───────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Inner Products ⭐ Matrix 💡 Tensor Algebra
│ Decompositions │
🔥 Orthogonality ⭐ LU/QR/Cholesky 💡 Multilinear
│ │ Algebra
⭐ Gram-Schmidt 💡 Pseudo-inverse │
Process │ 💡 Tensor
│ │ Decompositions
└───────────────────┼───────────────────┘
│
═══ Advanced Mathematical Tools ═══
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Probability Theory ⭐ Statistics ⭐ Optimization Theory
│ │ │
🔥 Random Variables ⭐ Descriptive ⭐ Convex Optimization
│ Statistics │
🔥 Distributions ⭐ Hypothesis 🔥 Gradient Descent
│ Testing │
🔥 Bayes' Theorem ⭐ Confidence ⭐ Lagrange Multipliers
│ Intervals │
⭐ Central Limit 💡 Regression 💡 Constrained
Theorem Analysis Optimization
│ │ │
⭐ Markov Chains 💡 ANOVA 💡 Linear Programming
│ │ │
└───────────────────┼───────────────────┘
│
💡 Specialized Mathematical Areas
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Real Analysis 💡 Complex Analysis 💡 Differential
│ │ Equations
💡 Measure Theory 💡 Fourier Analysis 💡 ODEs & PDEs
│ │ │
💡 Functional Analysis 💡 Signal Processing 💡 Dynamical Systems
│ │ │
💡 Topology 💡 Information 💡 Control Theory
│ Theory │
🔥 Terminal/Command Line
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Git 🔥 SSH ⭐ Shell Scripting
│ │ │
│ ⭐ Key Management │
│ │ 💡 Advanced Bash
│ 💡 Config Files │
│ │ ⭐ Aliases & Functions
│ ⭐ tmux │
│ │ 💡 zsh/fish/oh-my-zsh
│ │ │
└───────────────────┼───────────────────┘
│
═══ Text Editor Wars ═══
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 VS Code ⭐ Vim 💡 Emacs
│ │ │
💡 Extensions ⭐ Neovim 💡 Spacemacs
│ │ │
💡 Sublime Text 💡 Vim Plugins 💡 Nano (for emergencies)
🔥 Package Managers & Environment
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 pip ⭐ conda 💡 homebrew/apt
│ │ │
⭐ virtualenv ⭐ mamba 💡 snap/flatpak
│ │ │
💡 pipenv 💡 poetry 💡 asdf/pyenv
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Containerization
│
🔥 Docker
│
⭐ Docker Compose
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Kubernetes 💡 Podman 💡 Vagrant
│ │ │
💡 Helm 💡 LXC/LXD 💡 VirtualBox
🔥 IDE/Editor Setup
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Debugger ⭐ Linting ⭐ Testing Framework
│ │ │
🔥 IntelliSense ⭐ Code Formatting 🔥 Unit Tests
│ │ │
⭐ Extensions 💡 Type Checking ⭐ Integration Tests
│ │ │
└───────────────────┼───────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Jupyter Notebook 💡 API Testing 💡 Database Tools
│ │ │
⭐ JupyterLab 💡 Postman/Insomnia 💡 pgAdmin/Compass
│ │ │
💡 Google Colab 💡 HTTPie/curl 💡 DBeaver/Sequel Pro
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Version Control System
│
🔥 Git
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 GitHub/GitLab ⭐ Git Hooks ⭐ Branching Strategy
│ │ │
⭐ Pull Requests 💡 Git Flow 💡 Semantic Versioning
│ │ │
└───────────────────┼───────────────────┘
│
⭐ CI/CD Pipeline
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ GitHub Actions 💡 Jenkins 💡 GitLab CI
│ │ │
💡 Travis CI 💡 CircleCI 💡 Azure DevOps
│ │ │
└───────────────────┼───────────────────┘
│
💡 Advanced DevOps & Monitoring
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Prometheus 💡 ELK Stack 💡 Infrastructure as Code
│ │ │
💡 Grafana 💡 Splunk 💡 Terraform/Ansible
🔥 Programming Logic & Thinking
│
┌───────────────────┼─────────────────── ┐
│ │ │
🔥 Variables & 🔥 Control Flow 🔥 Functions
Data Types │ │
│ 🔥 If/Else/Switch 🔥 Parameters
🔥 Operators │ 🔥 Return Values
│ 🔥 Loops (for/while) │
🔥 Type Conversion │ 🔥 Recursion
│ 🔥 Break/Continue │
└───────────────────┼───────────────────┘
│
═══ Language Choice Wars ═══
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Python ⭐ Java 💡 Typescript
│ │ │
⭐ JavaScript ⭐ C 💡 Rust
│ │ │
💡 Go 💡 Kotlin
🔥 Basic Data Structures
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Arrays/Lists 🔥 Strings 🔥 Dictionaries/Maps
│ │ │
🔥 Indexing 🔥 String Methods 🔥 Key-Value Pairs
│ │ │
⭐ Multidimensional ⭐ String Formatting ⭐ Hash Tables
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Intermediate Data Structures
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Stacks & Queues ⭐ Sets 💡 Linked Lists
│ │ │
⭐ LIFO/FIFO ⭐ Union/Intersection 💡 Pointers/References
│ │ │
💡 Priority Queues 💡 Bit Manipulation ⭐ Trees & Graphs
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Basic Algorithms
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Searching 🔥 Sorting ⭐ Algorithm Complexity
│ │ │
🔥 Linear Search 🔥 Bubble/Selection ⭐ Big O Notation
│ │ │
⭐ Binary Search ⭐ Quick/Merge Sort 💡 Time/Space Analysis
│ │ │
⭐ Trees & Graph Alogirthms
🔥 OOP Fundamentals
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Classes & 🔥 Methods & 🔥 Encapsulation
Objects Attributes │
│ │ 🔥 Public/Private
🔥 Instantiation 🔥 Instance vs │
│ Class Methods ⭐ Getters/Setters
⭐ Constructors │ │
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Advanced OOP Concepts
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Inheritance ⭐ Polymorphism 💡 Abstraction
│ │ │
⭐ Parent/Child ⭐ Method Overriding 💡 Interfaces
│ │ │
💡 Multiple 💡 Duck Typing 💡 Abstract Classes
Inheritance │ │
🔥 File Operations
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Reading Files 🔥 Writing Files 🔥 File Paths
│ │ │
🔥 Text Files 🔥 Append Mode 🔥 Absolute/Relative
│ │ │
⭐ CSV/JSON ⭐ Binary Files ⭐ Directory Operations
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Error Handling
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Try/Catch 🔥 Exception Types ⭐ Custom Exceptions
│ │ │
🔥 Finally Blocks ⭐ Error Messages 💡 Logging
│ │ │
⭐ Debugging 💡 Stack Traces 💡 Testing Frameworks
🔥 Code Organization
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Modules/Packages 🔥 Import System 🔥 Standard Library
│ │ │
🔥 Creating Modules 🔥 from/import 🔥 Built-in Functions
│ │ │
⭐ Package Structure ⭐ Aliasing ⭐ Common Libraries
│ │ │
└───────────────────┼───────────────────┘
│
⭐ External Libraries
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Package Managers ⭐ Virtual Environments 💡 Documentation
│ │ │
🔥 pip/npm/etc ⭐ Requirements Files 💡 API References
│ │ │
⭐ Dependency 💡 Version Control 💡 Code Examples
Management │ │
🔥 Database Concepts
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Data Models 🔥 ACID Properties 🔥 Database Design
│ │ │
🔥 Relational Model 🔥 Atomicity 🔥 Normalization
│ │ │
🔥 Tables/Rows/ 🔥 Consistency 🔥 Primary/Foreign
Columns │ Keys
│ 🔥 Isolation │
⭐ Entity-Relationship 🔥 Durability ⭐ Indexing Strategy
Diagrams │ │
│ │ ⭐ Query Optimization
└───────────────────┼───────────────────┘
│
═══ SQL Mastery ═══
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Basic SQL 🔥 Advanced SQL ⭐ Database Functions
│ │ │
🔥 SELECT/FROM/WHERE 🔥 JOINs (Inner/ ⭐ Aggregate Functions
│ Outer/Left/Right) │
🔥 INSERT/UPDATE/ 🔥 Subqueries ⭐ Window Functions
DELETE │ │
│ 🔥 GROUP BY/HAVING ⭐ Common Table
🔥 ORDER BY/LIMIT 🔥 UNION/INTERSECT Expressions (CTEs)
│ │ │
└───────────────────┼───────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Advanced Queries 💡 Stored Procedures 💡 Database Security
│ │ │
⭐ Recursive Queries 💡 Triggers 💡 User Management
│ │ │
⭐ Performance Tuning 💡 Views 💡 Access Control
│ │ │
⭐ Execution Plans 💡 Materialized 💡 Data Encryption
│ Views │
🔥 Popular RDBMS
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 PostgreSQL ⭐ MySQL 💡 Oracle
│ │ │
🔥 JSON Support ⭐ InnoDB Engine 💡 Enterprise Features
│ │ │
🔥 Advanced Data ⭐ Replication 💡 PL/SQL
Types │ │
│ ⭐ Performance 💡 Advanced Analytics
⭐ Extensions Optimization │
│ │ │
└───────────────────┼───────────────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Microsoft SQL 💡 SQLite ⭐ Database
Server │ Administration
│ 💡 Embedded │
💡 T-SQL Database ⭐ Backup & Recovery
│ │ │
💡 Integration 💡 Local Development ⭐ Monitoring
Services │ │
│ 💡 Mobile Apps ⭐ Performance Tuning
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Database Connectivity
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Python DB APIs ⭐ Connection ⭐ Database Drivers
│ Pooling │
🔥 psycopg2/PyMySQL ⭐ SQLAlchemy ⭐ JDBC/ODBC
│ │ │
🔥 Connection ⭐ ORM Concepts 💡 Connection
Management │ Security
│ ⭐ Query Builders │
⭐ Document Databases
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ MongoDB 💡 CouchDB 💡 Amazon DocumentDB
│ │ │
⭐ Collections & 💡 Map-Reduce 💡 Azure Cosmos DB
Documents │ │
│ 💡 CouchDB Queries 💡 Multi-Model
⭐ BSON Format 💡 Replication Database
│ │ │
⭐ Aggregation 💡 Conflict 💡 Global Distribution
Pipeline Resolution │
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Key-Value & Column Stores
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Redis 💡 Apache Cassandra 💡 Amazon DynamoDB
│ │ │
⭐ Caching 💡 Wide Column 💡 Serverless NoSQL
│ Family │
⭐ Pub/Sub 💡 Distributed 💡 Auto-scaling
│ Architecture │
⭐ Data Structures 💡 Eventually 💡 Global Tables
│ Consistent │
└───────────────────┼───────────────────┘
│
💡 Graph Databases
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Neo4j 💡 Amazon Neptune 💡 ArangoDB
│ │ │
💡 Cypher Query 💡 Property Graph 💡 Multi-Model
Language │ (Graph/Document)
│ 💡 RDF/SPARQL │
💡 Graph Algorithms 💡 Graph Analytics 💡 Graph Traversal
│ │ │
💡 Social Networks 💡 Knowledge Graphs 💡 Recommendation
│ │ Systems
🔥 Data Warehousing
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Data Warehouse ⭐ Data Lakes ⭐ Data Marts
Concepts │ │
│ ⭐ Raw Data Storage ⭐ Departmental
🔥 ETL/ELT ⭐ Schema-on-Read Focus
Processes │ │
│ ⭐ Data Lake ⭐ OLAP vs OLTP
🔥 Dimensional Architecture │
Modeling │ ⭐ Star/Snowflake
│ │ Schema
└───────────────────┼───────────────────┘
│
⭐ Big Data Technologies
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Apache Hadoop ⭐ Apache Spark 💡 Apache Kafka
│ │ │
⭐ HDFS ⭐ Spark SQL 💡 Stream Processing
│ │ │
⭐ MapReduce ⭐ DataFrames 💡 Real-time Data
│ │ │
💡 Hive/Pig ⭐ MLlib 💡 Event Streaming
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Cloud Data Platforms
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 AWS Data Services ⭐ Google Cloud ⭐ Azure Data
│ Platform Platform
🔥 S3/RDS/Redshift ⭐ BigQuery/Cloud ⭐ SQL Database/
│ SQL Synapse
⭐ DynamoDB/EMR ⭐ Cloud Storage/ ⭐ Cosmos DB/
│ Dataflow Data Factory
⭐ Athena/Glue 💡 AI Platform 💡 Machine Learning
│ │ Studio
└───────────────────┼───────────────────┘
│
⭐ AI-Specific Data Storage
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Vector Databases ⭐ Time Series 💡 Feature Stores
│ Databases │
⭐ Pinecone/Weaviate ⭐ InfluxDB/ 💡 Feast/Tecton
│ TimescaleDB │
⭐ Similarity Search ⭐ IoT Data 💡 Feature Engineering
│ │ Pipeline
⭐ Embeddings Storage ⭐ Monitoring Data 💡 Model Registry
│ │ │
└───────────────────┼───────────────────┘
│
💡 Specialized AI Storage
│
┌───────────────────┼───────────────────┐
│ │ │
💡 MLOps Databases 💡 Experiment 💡 Model Versioning
│ Tracking │
💡 Model Metadata 💡 Weights & 💡 A/B Testing
│ Biases/MLflow Data
💡 Training Data 💡 Hyperparameter │
Versioning Optimization 💡 Performance
│ Results Metrics Storage
🔥 Data Manipulation & Analysis
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 NumPy 🔥 Pandas 🔥 Data Cleaning
│ │ │
🔥 Arrays & Matrices 🔥 DataFrames 🔥 Missing Values
│ │ │
🔥 Mathematical Ops 🔥 CSV/Excel I/O 🔥 Data Types
│ │ │
⭐ Broadcasting ⭐ Groupby/Merge ⭐ Outlier Detection
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Data Visualization
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Matplotlib ⭐ Seaborn 💡 Plotly
│ │ │
🔥 Basic Plots ⭐ Statistical Plots 💡 Interactive Plots
│ │ │
🔥 Customization ⭐ Heatmaps 💡 Dash/Streamlit
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Exploratory Data Analysis
│
┌───────────────────┼────────────────────────────┐
│ │ │
🔥 Descriptive Stats ⭐ Correlation 💡 Feature Engineering
│ │ │
🔥 Distribution ⭐ Hypothesis Testing 💡 Dimensionality
│ │ Reduction
⭐ Data Profiling 💡 A/B Testing │
🔥 ML Concepts & Theory
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Supervised vs 🔥 Training/Testing 🔥 Overfitting/
Unsupervised │ Underfitting
│ 🔥 Train/Val/Test │
🔥 Regression vs │ 🔥 Bias-Variance
Classification 🔥 Cross Validation │
│ │ ⭐ Regularization
⭐ Semi-supervised ⭐ Stratified Split │
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Scikit-Learn Ecosystem
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Linear Regression 🔥 Logistic 🔥 Decision Trees
│ Regression │
🔥 Polynomial 🔥 Classification 🔥 Random Forest
│ Metrics │
⭐ Ridge/Lasso 🔥 Confusion Matrix ⭐ Gradient Boosting
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Clustering & Unsupervised
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 K-Means ⭐ Hierarchical 💡 DBSCAN
│ Clustering │
🔥 Elbow Method ⭐ Dendrogram 💡 Gaussian Mixture
│ │ │
⭐ PCA 💡 t-SNE 💡 Association Rules
🔥 Neural Network Basics
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Perceptron 🔥 Activation 🔥 Backpropagation
│ Functions │
🔥 Multi-layer 🔥 ReLU/Sigmoid 🔥 Gradient Descent
│ │ │
⭐ Universal ⭐ Loss Functions ⭐ Learning Rate
Approximation │ │
│ 🔥 MSE/CrossEntropy ⭐ Optimizers
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Deep Learning Frameworks
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 TensorFlow/Keras ⭐ PyTorch 💡 JAX
│ │ │
🔥 Sequential Model ⭐ Dynamic Graphs 💡 Functional API
│ │ │
🔥 Dense Layers ⭐ Autograd 💡 Custom Layers
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Specialized Architectures
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Convolutional ⭐ Recurrent 💡 Transformers
Neural Networks Neural Networks │
│ │ 💡 Attention
⭐ CNN for Images ⭐ LSTM/GRU Mechanism
│ │ │
💡 Transfer Learning 💡 Sequence Models 💡 BERT/GPT Basics
⭐ Model Deployment
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Model Serialization ⭐ API Development 💡 Cloud Platforms
│ │ │
🔥 Pickle/Joblib ⭐ Flask/FastAPI 💡 AWS/GCP/Azure
│ │ │
⭐ Model Versioning ⭐ Docker for ML 💡 MLflow/Weights&Biases
│ │ │
└───────────────────┼───────────────────┘
│
💡 Advanced MLOps
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Model Monitoring 💡 A/B Testing 💡 Feature Stores
│ for Models │
💡 Data Drift 💡 Continuous 💡 AutoML
│ Integration │
💡 Model Retraining 💡 Kubernetes ML 💡 Edge Deployment
💡 Computer Vision
│
┌───────────────────┼───────────────────┐
│ │ │
💡 OpenCV 💡 Image Processing 💡 Object Detection
│ │ │
💡 Image Classification 💡 Face Recognition 💡 YOLO/R-CNN
│ │ │
💡 Image Segmentation 💡 OCR 💡 GANs
│ │ │
└───────────────────┼───────────────────┘
│
💡 Natural Language Processing
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Text Preprocessing 💡 Word Embeddings 💡 Named Entity
│ │ Recognition
💡 Tokenization 💡 Word2Vec/GloVe │
│ │ 💡 Question Answering
💡 Sentiment Analysis 💡 TF-IDF │
│ │ 💡 Text Generation
│ │ │
└───────────────────┼───────────────────┘
│
💡 Reinforcement Learning
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Q-Learning 💡 Policy Gradient 💡 Actor-Critic
│ │ │
💡 Markov Decision 💡 Deep Q-Network 💡 Multi-Agent RL
Process │ │
│ 💡 OpenAI Gym 💡 Game AI
🔥 Modern Neural Networks
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Attention 🔥 Transformers 🔥 Self-Attention
Mechanisms │ │
│ 🔥 Encoder-Decoder 🔥 Multi-Head
🔥 Seq2Seq │ Attention
│ 🔥 Positional Encoding │
⭐ Memory Networks │ ⭐ Scaled Dot-Product
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Large Language Models
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 BERT Family 🔥 GPT Family ⭐ T5/UL2
│ │ │
🔥 RoBERTa/DeBERTa 🔥 GPT-3/4 ⭐ PaLM/LaMDA
│ │ │
⭐ ELECTRA/ALBERT ⭐ ChatGPT/InstructGPT 💡 Chinchilla/Gopher
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Advanced Vision Models
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Vision Transformer ⭐ CLIP 💡 DALL-E/Midjourney
│ │ │
⭐ ResNet/EfficientNet ⭐ Multimodal Models 💡 Stable Diffusion
│ │ │
💡 Neural Architecture 💡 Few-Shot Learning 💡 NeRF/3D Generation
Search │ │
🔥 Advanced Optimization
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Advanced Optimizers 🔥 Learning Rate ⭐ Second-Order Methods
│ Scheduling │
🔥 Adam/AdamW │ ⭐ Newton/L-BFGS
│ 🔥 Warmup/Decay │
⭐ Lookahead/RAdam │ 💡 Natural Gradients
│ ⭐ Cyclical LR │
└───────────────────┼───────────────────┘
│
⭐ Advanced Training Techniques
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Transfer Learning ⭐ Fine-tuning ⭐ Knowledge Distillation
│ │ │
⭐ Domain Adaptation ⭐ Parameter-Efficient 💡 Neural Architecture
│ Fine-tuning Search
💡 Meta-Learning │ │
│ ⭐ LoRA/Adapters 💡 AutoML Pipelines
└───────────────────┼───────────────────┘
│
💡 Theoretical Foundations
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Information Theory 💡 Probabilistic 💡 Causal Inference
│ Models │
💡 PAC Learning 💡 Bayesian Deep 💡 Graph Neural
│ Learning Networks
💡 Complexity Theory 💡 Variational 💡 Geometric Deep
│ Inference Learning
⭐ Generative AI
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Generative ⭐ Variational ⭐ Diffusion Models
Adversarial Networks Autoencoders │
│ │ ⭐ DDPM/DDIM
⭐ StyleGAN/BigGAN ⭐ VAE/β-VAE │
│ │ 💡 Score-Based Models
💡 Conditional GANs 💡 Disentangled │
│ Representations 💡 Flow-Based Models
└───────────────────┼───────────────────┘
│
💡 Multimodal AI
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Vision-Language 💡 Audio-Visual 💡 Embodied AI
Models Models │
│ │ 💡 Robotics + AI
💡 Image Captioning 💡 Speech Recognition │
│ │ 💡 Simulation
💡 Visual QA 💡 Text-to-Speech Environments
│ │ │
└───────────────────┼───────────────────┘
│
💡 Advanced RL & Control
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Deep RL 💡 Multi-Agent RL 💡 Hierarchical RL
│ │ │
💡 PPO/A3C/SAC 💡 Game Theory + RL 💡 Meta-RL
│ │ │
💡 Model-Based RL 💡 Cooperative/ 💡 Offline RL
│ Competitive RL │
🔥 Research Methodology
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Paper Reading 🔥 Experiment Design ⭐ Academic Writing
│ │ │
🔥 Literature Review 🔥 Hypothesis Testing ⭐ Peer Review
│ │ │
⭐ Citation Management ⭐ Statistical 💡 Grant Writing
│ Significance │
└───────────────────┼───────────────────┘
│
⭐ Advanced Implementation
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Research Codebases ⭐ Distributed 💡 Custom CUDA
│ Training Kernels
⭐ Reproducibility ⭐ Multi-GPU/TPU │
│ │ 💡 Hardware
⭐ Benchmarking 💡 Model Parallelism Optimization
│ │ │
└───────────────────┼───────────────────┘
│
💡 Industry & Impact
│
┌───────────────────┼───────────────────┐
│ │ │
💡 AI Ethics 💡 Bias & Fairness 💡 AI Safety
│ │ │
💡 Explainable AI 💡 Privacy-Preserving 💡 Alignment Research
│ ML │
💡 Regulatory 💡 Federated Learning 💡 AI Governance
Compliance │ │
💡 Frontier Research
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Foundation Models 💡 Emergent 💡 Multimodal
│ Capabilities Foundation Models
💡 Scaling Laws 💡 In-Context │
│ Learning 💡 World Models
💡 Constitutional AI 💡 Chain-of-Thought │
│ Reasoning 💡 Neurosymbolic AI
└───────────────────┼───────────────────┘
│
💡 Next-Generation AI
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Quantum ML 💡 Neuromorphic 💡 Biological
│ Computing Computation
💡 Quantum Advantage 💡 Spiking Neural │
│ Networks 💡 DNA Computing
💡 NISQ Algorithms 💡 Brain-Inspired │
│ Architectures 💡 Molecular ML
└───────────────────┼───────────────────┘
│
💡 AGI Research
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Cognitive 💡 Reasoning Systems 💡 Consciousness
Architectures │ Models
│ 💡 Symbolic-Neural │
💡 Memory Systems Integration 💡 Theory of Mind
│ │ │
💡 Lifelong Learning 💡 Common Sense 💡 Self-Improving
│ Reasoning Systems
🔥 Technical Communication
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Explaining Complex 🔥 Documentation 🔥 Stakeholder
Concepts │ Communication
│ 🔥 Code Comments │
🔥 Non-Technical │ 🔥 Business Language
Translation 🔥 README/Wiki │
│ │ ⭐ Executive Summaries
⭐ Visual Storytelling ⭐ API Documentation │
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Team Collaboration
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Code Reviews 🔥 Pair Programming ⭐ Cross-Functional
│ │ Teams
🔥 Constructive 🔥 Knowledge Sharing │
Feedback │ ⭐ Remote Collaboration
│ ⭐ Mentoring │
⭐ Conflict Resolution ⭐ Teaching Skills 💡 Team Leadership
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Presentation Skills
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Technical Talks ⭐ Data Storytelling 💡 Conference Speaking
│ │ │
🔥 Demo Presentations ⭐ Visualization 💡 Workshop Facilitation
│ Design │
⭐ Slide Design 💡 Interactive Demos 💡 Panel Discussions
│ │ │
🔥 Analytical Thinking
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Problem 🔥 Root Cause 🔥 Systems Thinking
Decomposition Analysis │
│ │ 🔥 Understanding
🔥 Requirements 🔥 Debugging Dependencies
Analysis Methodology │
│ │ ⭐ Holistic View
⭐ Edge Case ⭐ Hypothesis Testing │
Identification │ │
└───────────────────┼───────────────────┘
│
⭐ Creative Problem Solving
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Alternative ⭐ Lateral Thinking 💡 Design Thinking
Approaches │ │
│ ⭐ Brainstorming 💡 Innovation
⭐ Constraint │ Methodology
Thinking 💡 Analogical │
│ Reasoning 💡 Prototyping
💡 First Principles │ Mindset
│ │ │
└───────────────────┼───────────────────┘
│
🔥 Decision Making
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Risk Assessment 🔥 Trade-off ⭐ Data-Driven
│ Analysis Decisions
🔥 Cost-Benefit 🔥 Prioritization │
│ │ ⭐ Uncertainty
⭐ Scenario Planning ⭐ Time Management Handling
│ │ │
🔥 Business Acumen
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Understanding 🔥 ROI & Value ⭐ Industry Knowledge
Business Goals Proposition │
│ │ ⭐ Market Dynamics
🔥 User/Customer 🔥 Resource │
Perspective Constraints ⭐ Competitive
│ │ Analysis
⭐ Product Thinking ⭐ Budget Awareness │
│ │ │
└───────────────────┼───────────────────┘
│
⭐ Domain Expertise
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Industry-Specific ⭐ Regulatory 💡 Subject Matter
Knowledge Compliance Expertise
│ │ │
⭐ Workflow ⭐ Ethical 💡 Research Domain
Understanding Considerations Knowledge
│ │ │
💡 Historical Context 💡 Future Trends 💡 Cross-Industry
│ │ Insights
└───────────────────┼───────────────────┘
│
🔥 Project Management
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Timeline Planning 🔥 Scope Management ⭐ Agile/Scrum
│ │ │
🔥 Milestone Tracking 🔥 Resource Planning ⭐ Risk Management
│ │ │
⭐ Stakeholder ⭐ Quality Assurance 💡 Program Management
Management │ │
🔥 Learning Mindset
│
┌───────────────────┼───────────────────┐
│ │ │
🔥 Curiosity & 🔥 Self-Directed 🔥 Staying Current
Growth Mindset Learning │
│ │ 🔥 Technology Trends
🔥 Embracing 🔥 Research Skills │
Challenges │ ⭐ Industry News
│ ⭐ Online Courses │
⭐ Learning from ⭐ Reading Papers 💡 Future-Proofing
Failure │ Skills
└───────────────────┼───────────────────┘
│
⭐ Adaptability
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Change Management ⭐ Flexibility 💡 Pivot Strategies
│ │ │
🔥 New Technology ⭐ Context Switching 💡 Career Pivoting
Adoption │ │
│ ⭐ Multi-tasking 💡 Skill
⭐ Feedback │ Transferability
Integration 💡 Stress Management │
│ │ │
└───────────────────┼───────────────────┘
│
💡 Teaching & Knowledge Sharing
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Mentoring Others 💡 Content Creation 💡 Community Building
│ │ │
⭐ Blog Writing 💡 Tutorial Making 💡 Open Source
│ │ Contribution
⭐ Internal Training 💡 Speaking │
│ Engagements 💡 Building Personal
💡 Knowledge │ Brand
Documentation 💡 Thought Leadership │
⭐ Networking & Relationships
│
┌───────────────────┼───────────────────┐
│ │ │
⭐ Professional ⭐ Industry Events 💡 Social Media
Networks │ Presence
│ ⭐ Conferences │
⭐ Internal ⭐ Meetups 💡 LinkedIn
Relationships │ Optimization
│ 💡 Online Communities │
💡 Mentorship 💡 Hackathons 💡 Twitter/X/reddit for Tech
Networks │ │
└───────────────────┼───────────────────┘
│
💡 Leadership & Influence
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Technical 💡 Vision Setting 💡 Strategic Thinking
Leadership │ │
│ 💡 Inspiring Others 💡 Organizational
💡 Team Building │ Impact
│ 💡 Change Advocacy │
💡 Delegation 💡 Decision 💡 Executive
│ Authority Presence
└───────────────────┼───────────────────┘
│
💡 Career Strategy
│
┌───────────────────┼───────────────────┐
│ │ │
💡 Personal Branding 💡 Goal Setting 💡 Market Positioning
│ │ │
💡 Portfolio Building 💡 Skill Gap 💡 Salary Negotiation
│ Analysis │
💡 Interview Skills 💡 Career Path 💡 Equity & Compensation
│ Planning Understanding
This project is for educational purposes. MIT © Mahmoud Ahmed
Contributions welcome! Fork the repository, make your changes, and submit a pull request.
- Fork the repo
- Create a feature branch
- Make your changes
- Submit a pull request
Please follow existing same style.