AI & Data Science
Cheat sheets
51 one-page summaries — the key ideas, common pitfalls and interview tips for each topic. Skim one before an interview, or print it for revision.
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Machine Learning (10 cheat sheets)
Decision Trees & Random Forests
One-page summary
Feature engineering
One-page summary
Feature engineering at scale
One-page summary
Gradient Boosting (XGBoost/LightGBM)
One-page summary
Hyperparameter tuning
One-page summary
k-NN & k-Means
One-page summary
Logistic regression
One-page summary
Model evaluation metrics
One-page summary
Supervised vs Unsupervised Learning
One-page summary
Support vector machines
One-page summary
Deep Learning (7 cheat sheets)
Activation & Loss Functions
One-page summary
Bias-Variance & Regularization
One-page summary
Convolutional neural networks (CNNs)
One-page summary
Dropout & Batch Normalization
One-page summary
Neural Network Basics
One-page summary
Optimizers (SGD, Adam)
One-page summary
RNN, LSTM & GRU
One-page summary
LLMs & Agents (10 cheat sheets)
Agentic AI & Tool Use
One-page summary
Fine-tuning (LoRA/PEFT)
One-page summary
Generative AI
One-page summary
LLM Evaluation & Hallucinations
One-page summary
LLM Fundamentals
One-page summary
Multi-Agent Systems & Orchestration
One-page summary
Prompt engineering
One-page summary
Prompt Engineering
One-page summary
RAG & Vector Databases
One-page summary
Transformers
One-page summary
Natural Language Processing (1 cheat sheet)
NLP Pipeline
One-page summary
Computer Vision (2 cheat sheets)
Computer Vision Essentials
One-page summary
Object Detection & Segmentation
One-page summary
Statistics & Probability (3 cheat sheets)
Hypothesis Testing
One-page summary
Probability Distributions
One-page summary
Statistics Essentials
One-page summary
Data & MLOps (9 cheat sheets)
Advanced Pandas
One-page summary
EDA & Data Cleaning
One-page summary
Making charts and data visualization
One-page summary
MLOps & Deployment
One-page summary
Model Monitoring & Drift
One-page summary
NumPy
One-page summary
Python for Data Science
One-page summary
Python, Pandas and NumPy
One-page summary
SQL for data science
One-page summary
Time Series & RL (4 cheat sheets)
Reinforcement learning
One-page summary
Reinforcement Learning
One-page summary
Time Series
One-page summary
Time series forecasting
One-page summary
System Design (3 cheat sheets)
ML system design
One-page summary
Recommender systems
One-page summary
Recommender systems at scale
One-page summary
Careers & Interviews (1 cheat sheet)
Big-O & DSA for Interviews
One-page summary
Ethics & Responsible AI (1 cheat sheet)
Responsible AI
One-page summary