Probability and distributions; multivariate distributions; distributions of functions of random variables; sampling distributions; limiting distributions; point estimation; confidence intervals; sufficient statistics; Bayesian estimation; maximum likelihood estimation; statistical tests.

An Introduction to Statistical Learning （英文版和中文版），统计学习导论 基于R应用，学习机器学习入门的经典书籍，包括中文版和英文版

Introduction to Plasma Physics.pdf

Solutions to Introduction to the Theory of ComputationCh1-10全集

Richard S. Sutton 教授的经典教材《增强学习导论》（Reinforcement Learning: An Introduction）第二版，2018年在线草稿版

增强学习导论 强化学习导论 Reinforcement learning an introduction 中文版

An introduction to stochastic processes through the use of RIntroduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. The use of simulation, by means of the popular statistical software R, makes theoretical results come alive with practical, hands-on demonstrations.Written by a highly-qualified expert in the field, the author presents numerous examples from a wide array of disciplines, which are used to illustrate concepts and highlight computational and theoretical results. Developing readers’ problem-solving skills and mathematical maturity, Introduction to Stochastic Processes with R features:,解压密码 share.weimo.info

MIPI协议的相关介绍

Machine learning must be one of the fastest growing fields in computer science. It is not only that the data is continuously getting “bigger,” but also the theory to process it and turn it into knowledge. In various fields of science, from astronomy to biology, but also in everyday life, as digital

国外经典信号处理教程书籍，是国内外高等学府信号处理课程的教科用书，也可作为科研及工作人员的参考用书。