Obviously Awesome

Math Resources

Machine Learning, Deep Learning, Algorithms, Probability, Statistics, Linear Algebra, ...

algorithm theory    approximations    bandit algorithms    bayes    boosting    bootstrap confidence intervals    calculus    cheatsheets    cliques    clustering    complete books    component analysis    cross validation    data structures    decision theory    deep learning architectures    deep learning math    differential equations    dimensionality    dynamic programming    ensembles    expection maximization    feature engineering    frequent itemsets    gaussian mixtures    gaussian models    geometry    glossaries    graphs    greedy algorithms    inference    interviewing    kernels    learning    linear algebra    linear models    machine learning tutorials    markov    matrix math    max likelihood estimation    mixture models    natural language processing    nearest neighbors    number theory    optimization    other    parallelism    perceptrons    performance    planning algorithms    polynomials    probability, statistics    queues    randomization    recommenders    recursion    regression    reinforcement learning    sampling    scikit-learn (jupyter nb to HTML)    search-sort    set theory    signal processing    singular value decomposition    sorting    spatial data    stochastic processes    streams    strings    supervised learning    support vector machines    survival analysis    symbolic math    tbd    time series    tools    tree structures    unsupervised learning    use cases    visualization