A well written book on pattern recognition for beginners. It covers basic topics in this field, including discriminant analysis, decision trees, feature selection, and clustering -- all are basic knowledge that researchers in machine learning or pattern recognition should understand

A Classical book for Signal Processing

应用统计学入门教程，非常详细易懂，英文原版，第七版，带英文书签目录

The purpose of this book is to help the climatologist understand the basic precepts of the statistician’s art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialized techniques used specifically by climatologists are all contained within this one source. There is a wealth of realworld examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research.

An Introduction to Statistical Learning，英文原版，非扫描版，可以用电脑词典随时翻译。 Gareth James Daniela Witten Trevor Hastie Robert Tibshirani

Fundamentals of Statistical Signal Processing

Ma 等。 - 2018 - Data-Driven State-Increment Statistical Model and 1

经典教材Aspects of multivariate statistical theory工程技术人员必备工具书。

综合数据挖掘开源平台，性能非常好，功能包括：Classification: Support Vector Machines, Decision Trees, AdaBoost, Gradient Boosting, Random Forest, Logistic Regression, Neural Networks, RBF Networks, Maximum Entropy Classifier, KNN, Naïve Bayesian, Fisher/Linear/Quadratic/Regularized Discriminant Analysis. Regression: Support Vector Regression, Gaussian Process, Regression Trees, Gradient Boosting, Random Forest, RBF Networks, OLS, LASSO, ElasticNet, Ridge Regression. Feature Selection: Genetic Algorithm based Feature

多对象单细胞反卷积（MuSiC） MuSiC是一种反卷积方法，它利用跨学科的scRNA-seq来估计大量RNA-seq数据中的细胞类型比例。 如何引用MuSiC 请引用以下出版物： 具有多对象单细胞表达参考的大体积组织细胞类型反卷积X.Wang，J.Park，K.Susztak，NRNR Zhang，M.Li 自然通讯。 2019年1月22日 安装 # install devtools if necessary install.packages( ' devtools ' ) # install the MuSiC package devtools :: install_github( ' xuranw/MuSiC ' ) # load library( MuSiC ) 更多信息 请参阅。