Hands-On.Machine.Learning.with.Scikit-Learn.and.TensorFlowPDF与代码合集，亚马逊排名第一的机器学习与深度学习书籍

learning_compile_mod_wsgi编译mod_wsgi教程完整视频教程01准备Ubuntu系统.mp402安装Apache2.mp403安装Python.mp404编译mod_wsgi.mp405运行wsgi示例.mp406在Apache中运行Django网站.mp407容器化.mp4

Halcon19.11+20.05安装包。
包括：-windows.exe、-windows-deep-learning-core.exe、-deep-learning-data.exe、-runtime.exe

经典Q-learning走迷宫的MATLAB代码，假设一个情景，一个机器人处于一栋房子之中，希望他能够走出5号门。
假定此时机器人处于0号房间之中。

Remarkableadvancesincomputationanddatastorageandthereadyavailabilityofhugedatasetshavebeenthekeystothegrowthofthenewdisciplinesofdataminingandmachinelearning,whiletheenormoussuccessoftheHumanGenomeProjecthasopenedupthefieldofbioinformatics.Theseexcitingdevelopments,whichledtotheintroductionofmanyinnovativestatisticaltoolsforhigh-dimensionaldataanalysis,aredescribedhereindetail.Theauthortakesabroadperspective;forthefirsttimeinabookonmultivariateanalysis,nonlinearmethodsarediscussedindetailaswellaslinearmethods.Techniquescoveredrangefromtraditionalmultivariatemethods,suchasmultipleregression,principalcomponents,canonicalvariates,lineardiscriminantanalysis,factoranalysis,clustering,multidimensionalscaling,andcorrespondenceanalysis,tothenewermethodsofdensityestimation,projectionpursuit,neuralnetworks,multivariatereduced-rankregression,nonlinearmanifoldlearning,bagging,boosting,randomforests,independentcomponentanalysis,supportvectormachines,andclassificationandregressiontrees.Anotheruniquefeatureofthisbookisthediscussionofdatabasemanagementsystems.Thisbookisappropriateforadvancedundergraduatestudents,graduatestudents,andresearchersinstatistics,computerscience,artificialintelligence,psychology,cognitivesciences,business,medicine,bioinformatics,andengineering.Familiaritywithmultivariablecalculus,linearalgebra,andprobabilityandstatisticsisrequired.Thebookpresentsacarefully-integratedmixtureoftheoryandapplications,andofclassicalandmodernmultivariatestatisticaltechniques,includingBayesianmethods.Thereareover60interestingdatasetsusedasexamplesinthebook,over200exercises,andmanycolorillustrationsandphotographs.

machine-learning从零基础开始机器学习之旅

Title:MachineLearning:AnAlgorithmicPerspective,2ndEditionAuthor:StephenMarslandLength:457pagesEdition:2Language:EnglishPublisher:ChapmanandHall/CRCPublicationDate:2014-10-08ISBN-10:1466583282ISBN-13:9781466583283AProven,Hands-OnApproachforStudentswithoutaStrongStatisticalFoundationSincethebest-sellingfirsteditionwaspublished,therehavebeenseveralprominentdevelopmentsinthefieldofmachinelearning,includingtheincreasingworkonthestatisticalinterpretationsofmachinelearningalgorithms.Unfortunately,computersciencestudentswithoutastrongstatisticalbackgroundoftenfindithardtogetstartedinthisarea.Remedyingthisdeficiency,MachineLearning:AnAlgorithmicPerspective,SecondEditionhelpsstudentsunderstandthealgorithmsofmachinelearning.Itputsthemonapathtowardmasteringtherelevantmathematicsandstatisticsaswellasthenecessaryprogrammingandexperimentation.NewtotheSecondEditionTwonewchaptersondeepbeliefnetworksandGaussianprocessesReorganizationofthechapterstomakeamorenaturalflowofcontentRevisionofthesupportvectormachinematerial,includingasimpleimplementationforexperimentsNewmaterialonrandomforests,theperceptronconvergencetheorem,accuracymethods,andconjugategradientoptimizationforthemulti-layerperceptronAdditionaldiscussionsoftheKalmanandparticlefiltersImprovedcode,includingbetteruseofnamingconventionsinPythonSuitableforbothanintroductoryone-semestercourseandmoreadvancedcourses,thetextstronglyencouragesstudentstopracticewiththecode.Eachchapterincludesdetailedexamplesalongwithfurtherreadingandproblems.Allofthecodeusedtocreatetheexamplesisavailableontheauthor’swebsite.TableofContentsChapter1:IntroductionChapter2:PreliminariesChapter3:Neurons,NeuralNetworks,andLinearDiscriminantsChapter4:TheMulti-layerPerceptronChapter5:R

学习杂记松的成长之旅2020.05.25突发奇想，想要记录一下自己在开发路上的成长过程并有了第一篇笔记MySql优化建议的原因2020.05.26更新一下使用自定义注释解和AOP切面实现增强功能尝试一天一更吧2020.07.10更新了IOC容器相关知识2020.09.02更新了Redis相关知识

Halcon20.11.1.0安装包和license环境:win10/win71.安装Halcon,依次安装:01_halcon-20.11.1.0-windows.exe02_halcon-20.11.1.0-windows-deep-learning-core.exe03_halcon-20.11.1.0-windows-deep-learning-data.exelicense_eval_halcon_steady_2020_12.dat2.安装cuda10.2.89,依次安装01_cuda_10.2.89_441.22_windows.exe02_cuda_10.2

由中国知网开发的文献管理工具，使用起来非常方便！

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。