# math - [Papers](https://stephanosterburg.gitbook.io/scrapbook/math/papers.md) - [Math for ML (coursera)](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml.md): https://www.coursera.org/learn/linear-algebra-machine-learning/home/welcome - [Linear Algebra](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra.md) - [Wk1](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra/wk1.md) - [Wk2](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra/wk2.md) - [Wk3](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra/wk3.md) - [Wk4](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra/wk4.md) - [Wk5](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/linear-algebra/wk5.md): eigenvalues and eigenvectors - [Multivariate Calculus](https://stephanosterburg.gitbook.io/scrapbook/math/math-for-ml/multivariate-calculus.md) - [Improving your Algorithms & Data Structure Skills](https://stephanosterburg.gitbook.io/scrapbook/math/improving-your-algorithms-and-data-structure-skills.md) - [Algorithms](https://stephanosterburg.gitbook.io/scrapbook/math/algorithms.md) - [Algorithms (MIT)](https://stephanosterburg.gitbook.io/scrapbook/math/mit-intro-to-algorithms.md): Notes to the lecture videos - [Lecture 1: Algorithmic Thinking, Peak Finding](https://stephanosterburg.gitbook.io/scrapbook/math/mit-intro-to-algorithms/lecture-1-algorithmic-thinking-peak-finding.md) - [Algorithms (khan academy)](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy.md): https://www.khanacademy.org/computing/computer-science/algorithms - [Binary Search](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/binary-search.md) - [Asymptotic notation](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/asymptotic-notation.md) - [Sorting](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/sorting.md) - [Insertion sort](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/insertion-sort.md) - [Recursion](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/recursion.md) - [Solve Hanoi recursively](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/solve-hanoi-recursively.md) - [Merge Sort](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/merge-sort.md) - [Representing graphs](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/representing-graphs.md) - [The breadth-first search algorithm](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/the-breadth-first-search-algorithm.md) - [Breadth First Search in JavaScript](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/breadth-first-search-in-javascript.md) - [Breadth-first vs Depth-first Tree Traversal in Javascript](https://stephanosterburg.gitbook.io/scrapbook/math/algorithm-khan-academy/breadth-first-vs-depth-first-tree-traversal-in-javascript.md) - [Algorithms (udacity)](https://stephanosterburg.gitbook.io/scrapbook/math/algorithms-udacity.md) - [Social Network](https://stephanosterburg.gitbook.io/scrapbook/math/algorithms-udacity/social-network.md) - [Udacity](https://stephanosterburg.gitbook.io/scrapbook/math/udacity.md) - [Linear Algebra Refresher /w Python](https://stephanosterburg.gitbook.io/scrapbook/math/udacity/linear-algebra-refresher-w-python.md) - [math-notes](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes.md) - [functions](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/functions.md) - [differential calculus](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/differential-calculus.md) - [derivative](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/derivative.md) - [extras](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/extras.md) - [Exponentials & logarithms](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/logarithms.md) - [Trigonometry](https://stephanosterburg.gitbook.io/scrapbook/math/math-notes/trigonometry.md): https://en.wikipedia.org/wiki/Trigonometry - [Probability (MIT)](https://stephanosterburg.gitbook.io/scrapbook/math/probability-mit.md) - [Unit 1](https://stephanosterburg.gitbook.io/scrapbook/math/probability-mit/unit-1.md) - [Probability Models and Axioms](https://stephanosterburg.gitbook.io/scrapbook/math/probability-mit/unit-1/probability-mit.md) - [Mathematical background: Sets; sequences, limits, and series; (un)countable sets.](https://stephanosterburg.gitbook.io/scrapbook/math/probability-mit/unit-1/mathematical-background-sets-sequences-limits-and-series-un-countable-sets..md) - [Statistics and probability (khan academy)](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability.md) - [Analyzing categorical data](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/analyzing-categorical-data.md) - [Describing and comparing distributions](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/describing-and-comparing-distributions.md) - [Outliers Definition](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/outliers-definition.md) - [Mean Absolute Deviation (MAD)](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/mean-absolute-deviation-mad.md) - [Modeling data distribution](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/modeling-data-distribution.md) - [Exploring bivariate numerical data](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/untitled.md) - [Study Design](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/study-design.md) - [Probability](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/probability.md) - [Counting, permutations, and combinations](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/counting-permutations-and-combinations.md) - [Binomial variables](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/binomial-variables.md) - [Binomial Distribution](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/binomial-variables/binomial-distribution.md) - [Binomial mean and standard deviation formulas](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/binomial-variables/binomial-mean-and-standard-deviation-formulas.md) - [Geometric random variable](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/binomial-variables/geometric-random-variable.md) - [Central Limit Theorem](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/central-limit-theorem.md) - [Significance Tests (hypothesis testing)](https://stephanosterburg.gitbook.io/scrapbook/math/statistics-and-probability/significance-tests-hypothesis-testing.md) - [Statistics (hackerrank)](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank.md) - [Mean, Medium, Mode](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/mean-medium-mode.md) - [Weighted Mean](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/weighted-mean.md) - [Quartiles](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/quartiles.md) - [Standard Deviation](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/standard-deviation.md) - [Basic Probability](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/basic-probability.md) - [Conditional Probability](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/conditional-probability.md) - [Permutations & Combinations](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/permutations-and-combinations.md) - [Binomial Distribution](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/binomial-distribution.md) - [Negative Binomial](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/negative-binomial.md) - [Poisson Distribution](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/poisson-distribution.md) - [Normal Distribution](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/normal-distribution.md) - [Central Limit Theorem](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/central-limit-theorem.md) - [Important Concepts in Bayesian Statistics](https://stephanosterburg.gitbook.io/scrapbook/math/hackerrank/important-concepts-in-bayesian-statistics.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://stephanosterburg.gitbook.io/scrapbook/math.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.