阿博仑

贝叶斯统计的入门介绍书籍

OveranumberofyearsItaughtthestandard,classical,theoryofstatisticstoalargenumberof students,mostofwhomappearedtohavesimilardifficultiestothoseIhadmysel

Statistical Rethinking A Bayesian Course with Examples in R and Stan2

Theriseofprobabilitytheorychangedthat.StatisticalinferencecompelsusinsteadtorelyonFortunaasaservantofMinerva,tousechanceanduncertaintytodiscoverreliab

Python for Finance

Thereisnodoubtthatthemajorityofprogrammingbooksarewrittenbyprofessorsfromcomputerscience.Itseemsoddthatafinanceprofessorwritesaprogrammingbook.Itisund

数据流形的距离和几何结构

根据信息几何的观点，介绍了数据流形的距离。Theincreasingimportanceofdatainthemodernworldhascreatedaneedfornewmathematicaltechniquestoanalyzethisdata.Weexploreanddeveloptheu

PythonforProbabilityStatisticsandMachineLearning

ThisbookwillteachyouthefundamentalconceptsthatunderpinprobabilityandstatisticsandillustrateshowtheyrelatetomachinelearningviathePythonlanguageanditspo

贝叶斯模型选择和统计建模

BayesianmodelselectionisafundamentalpartoftheBayesianstatisticalmodelingprocess.Inprinciple,theBayesiananalysisisstraightforward.Specifyingthedatasamp

PythonforComputationalScienceandEngineering

ThistextsummarisesanumberofcoreideasrelevanttoComputationalEngineeringandScienticComputingusingPython.TheemphasisisonintroducingsomebasicPython(progra

PythonforScientists

The title of this book is “Python for Scientists”, but what does that mean? The dictionary defines “Python” as either (a) a non-venomous snake from As

Introduction_to_Machine_Learning_with_Python_A_Guide_for_Data_Scientists_

This book is for current and aspiring machine learning practitioners looking to implement solutions to real-world machine learning problems. This is a

Introduction to Data Science_A Python Approach

This book is an introduction to concepts, techniques, and applications in data science. This book focuses on the analysis of data, covering concepts f