# math

- [Papers](/scrapbook/math/papers.md)
- [Math for ML (coursera)](/scrapbook/math/math-for-ml.md): https://www.coursera.org/learn/linear-algebra-machine-learning/home/welcome
- [Linear Algebra](/scrapbook/math/math-for-ml/linear-algebra.md)
- [Wk1](/scrapbook/math/math-for-ml/linear-algebra/wk1.md)
- [Wk2](/scrapbook/math/math-for-ml/linear-algebra/wk2.md)
- [Wk3](/scrapbook/math/math-for-ml/linear-algebra/wk3.md)
- [Wk4](/scrapbook/math/math-for-ml/linear-algebra/wk4.md)
- [Wk5](/scrapbook/math/math-for-ml/linear-algebra/wk5.md): eigenvalues and eigenvectors
- [Multivariate Calculus](/scrapbook/math/math-for-ml/multivariate-calculus.md)
- [Improving your Algorithms & Data Structure Skills](/scrapbook/math/improving-your-algorithms-and-data-structure-skills.md)
- [Algorithms](/scrapbook/math/algorithms.md)
- [Algorithms (MIT)](/scrapbook/math/mit-intro-to-algorithms.md): Notes to the lecture videos
- [Lecture 1: Algorithmic Thinking, Peak Finding](/scrapbook/math/mit-intro-to-algorithms/lecture-1-algorithmic-thinking-peak-finding.md)
- [Algorithms (khan academy)](/scrapbook/math/algorithm-khan-academy.md): https://www.khanacademy.org/computing/computer-science/algorithms
- [Binary Search](/scrapbook/math/algorithm-khan-academy/binary-search.md)
- [Asymptotic notation](/scrapbook/math/algorithm-khan-academy/asymptotic-notation.md)
- [Sorting](/scrapbook/math/algorithm-khan-academy/sorting.md)
- [Insertion sort](/scrapbook/math/algorithm-khan-academy/insertion-sort.md)
- [Recursion](/scrapbook/math/algorithm-khan-academy/recursion.md)
- [Solve Hanoi recursively](/scrapbook/math/algorithm-khan-academy/solve-hanoi-recursively.md)
- [Merge Sort](/scrapbook/math/algorithm-khan-academy/merge-sort.md)
- [Representing graphs](/scrapbook/math/algorithm-khan-academy/representing-graphs.md)
- [The breadth-first search algorithm](/scrapbook/math/algorithm-khan-academy/the-breadth-first-search-algorithm.md)
- [Breadth First Search in JavaScript](/scrapbook/math/algorithm-khan-academy/breadth-first-search-in-javascript.md)
- [Breadth-first vs Depth-first Tree Traversal in Javascript](/scrapbook/math/algorithm-khan-academy/breadth-first-vs-depth-first-tree-traversal-in-javascript.md)
- [Algorithms (udacity)](/scrapbook/math/algorithms-udacity.md)
- [Social Network](/scrapbook/math/algorithms-udacity/social-network.md)
- [Udacity](/scrapbook/math/udacity.md)
- [Linear Algebra Refresher /w Python](/scrapbook/math/udacity/linear-algebra-refresher-w-python.md)
- [math-notes](/scrapbook/math/math-notes.md)
- [functions](/scrapbook/math/math-notes/functions.md)
- [differential calculus](/scrapbook/math/math-notes/differential-calculus.md)
- [derivative](/scrapbook/math/math-notes/derivative.md)
- [extras](/scrapbook/math/math-notes/extras.md)
- [Exponentials & logarithms](/scrapbook/math/math-notes/logarithms.md)
- [Trigonometry](/scrapbook/math/math-notes/trigonometry.md): https://en.wikipedia.org/wiki/Trigonometry
- [Probability (MIT)](/scrapbook/math/probability-mit.md)
- [Unit 1](/scrapbook/math/probability-mit/unit-1.md)
- [Probability Models and Axioms](/scrapbook/math/probability-mit/unit-1/probability-mit.md)
- [Mathematical background: Sets; sequences, limits, and series; (un)countable sets.](/scrapbook/math/probability-mit/unit-1/mathematical-background-sets-sequences-limits-and-series-un-countable-sets..md)
- [Statistics and probability  (khan academy)](/scrapbook/math/statistics-and-probability.md)
- [Analyzing categorical data](/scrapbook/math/statistics-and-probability/analyzing-categorical-data.md)
- [Describing and comparing distributions](/scrapbook/math/statistics-and-probability/describing-and-comparing-distributions.md)
- [Outliers Definition](/scrapbook/math/statistics-and-probability/outliers-definition.md)
- [Mean Absolute Deviation (MAD)](/scrapbook/math/statistics-and-probability/mean-absolute-deviation-mad.md)
- [Modeling data distribution](/scrapbook/math/statistics-and-probability/modeling-data-distribution.md)
- [Exploring bivariate numerical data](/scrapbook/math/statistics-and-probability/untitled.md)
- [Study Design](/scrapbook/math/statistics-and-probability/study-design.md)
- [Probability](/scrapbook/math/statistics-and-probability/probability.md)
- [Counting, permutations, and combinations](/scrapbook/math/statistics-and-probability/counting-permutations-and-combinations.md)
- [Binomial variables](/scrapbook/math/statistics-and-probability/binomial-variables.md)
- [Binomial Distribution](/scrapbook/math/statistics-and-probability/binomial-variables/binomial-distribution.md)
- [Binomial mean and standard deviation formulas](/scrapbook/math/statistics-and-probability/binomial-variables/binomial-mean-and-standard-deviation-formulas.md)
- [Geometric random variable](/scrapbook/math/statistics-and-probability/binomial-variables/geometric-random-variable.md)
- [Central Limit Theorem](/scrapbook/math/statistics-and-probability/central-limit-theorem.md)
- [Significance Tests (hypothesis testing)](/scrapbook/math/statistics-and-probability/significance-tests-hypothesis-testing.md)
- [Statistics (hackerrank)](/scrapbook/math/hackerrank.md)
- [Mean, Medium, Mode](/scrapbook/math/hackerrank/mean-medium-mode.md)
- [Weighted Mean](/scrapbook/math/hackerrank/weighted-mean.md)
- [Quartiles](/scrapbook/math/hackerrank/quartiles.md)
- [Standard Deviation](/scrapbook/math/hackerrank/standard-deviation.md)
- [Basic Probability](/scrapbook/math/hackerrank/basic-probability.md)
- [Conditional Probability](/scrapbook/math/hackerrank/conditional-probability.md)
- [Permutations & Combinations](/scrapbook/math/hackerrank/permutations-and-combinations.md)
- [Binomial Distribution](/scrapbook/math/hackerrank/binomial-distribution.md)
- [Negative Binomial](/scrapbook/math/hackerrank/negative-binomial.md)
- [Poisson Distribution](/scrapbook/math/hackerrank/poisson-distribution.md)
- [Normal Distribution](/scrapbook/math/hackerrank/normal-distribution.md)
- [Central Limit Theorem](/scrapbook/math/hackerrank/central-limit-theorem.md)
- [Important Concepts in Bayesian Statistics](/scrapbook/math/hackerrank/important-concepts-in-bayesian-statistics.md)