Скачать с ютуб The Map of Statistics (all of Statistics in 15 mins!) в хорошем качестве

The Map of Statistics (all of Statistics in 15 mins!)

Become a member! https://meerkatstatistics.com/courses/ * 🎉 Special YouTube 60% Discount on Yearly Plan – valid for the 1st 100 subscribers; Voucher code: First100 🎉 * Why become a member? * All video content * Extra material on complete-courses (notebooks) * Access to code and notes * Community Discussion * No Ads * Support the Creator ❤️ If you’re looking for statistical consultation, work on interesting projects, or training workshop, visit my website https://meerkatstatistics.com/ or contact me directly at [email protected] ~~~~~ SUPPORT ~~~~~ PayPal me: https://paypal.me/MeerkatStatistics ~~~~~~~~~~~~~~~~~ Illustrator: Julia Fernández (@juliae_rez)   / juliae_rez   https://www.artstation.com/juliae_rez Meerkat Animator: Miguel Vila https://www.fiverr.com/mvila_art #################### what is statistics? what are statistics? the all of statistics in one go; the whole of statistics in 15 minutes! probability, stochastic processes, statistical theory, statistical tests, multiple hypothesis testing, bayesian statistics, computational statistics, survival analysis, causal inference, time series analysis, dimensionality reduction, sparsity, sampling, statistical decision theory, regression, parametric regression, linear regression, generalized linear models, nonlinear models, nonparametric regression, kernel regression, fourier, wavelet, smoothing splines, classification, clustering, density estimation, data science, data mining, data collecting, data exploring, data cleaning, data munging, data visualization, math, linear algebra, calculus, set theory, measure theory, functional analysis, optimization, convexity, kkt, linear programming, convex programming, quadratic programming, semidefinite programming, computer science, data structures, complexity, algorithms, databases, vision, machine learning, natural language processing, nlp, convolutional neural networks, cnn, reinforcement learning, rl, neural networks, normalizing flows