Cheat Sheets - ML

The Complete ML Cheatsheet Bundle — Everything You Need, Nothing You Don't

Most cheatsheets give you formulas without context. Most textbooks give you context without quick reference. This bundle gives you both — a single resource you reach for when you're learning, when you're building, and when you need to remember something fast without going back to a three-hour course.

Every sheet in this bundle was built around one question: what does someone actually need to know to work confidently in ML?

What's inside:

Mathematics for ML

1. Linear algebra essentials — vectors, matrices, dot products, eigenvalues
2. Calculus for ML — derivatives, partial derivatives, chain rule and where they appear in real algorithms
3. Optimisation fundamentals — gradient descent, loss functions, convexity at a glance

Probability

1. Core rules — addition, multiplication, conditional probability
2. Bayes theorem — formula, intuition, and real ML application
3. Key distributions — Normal, Binomial, Poisson with when each one applies

Statistics

1. Descriptive statistics — mean, median, variance, standard deviation, skewness
2. Inferential statistics — sampling, estimation, and confidence intervals
3. Correlation, covariance, and the difference between the two

Hypothesis Testing

1. Null and alternative hypothesis structure
2. p-values, significance levels, and Type I / Type II errors
3. t-test, z-test, chi-square — when to use which, at a glance
4. A/B testing framework from setup to conclusion

ML Algorithms

1. Supervised learning — regression, classification algorithms with key parameters
2. Unsupervised learning — clustering and dimensionality reduction essentials
3. Time series — decomposition, ARIMA, forecasting model selection guide
4. Algorithm selection flowchart — which model for which problem
5. Evaluation metrics reference — accuracy, precision, recall, F1, RMSE, AUC

Who this is for:

Students stepping into ML for the first time, working analysts who want a reliable quick reference, and anyone preparing for data or ML interviews who wants everything in one place instead of scattered across ten browser tabs.

One bundle. Every concept. Always within reach.