英文电子书。
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epub格局

:memo:直到今天:exclamation_mark:wally-wally의TIL용하실용하실출처나IL출처나하겠습니사하겠습니다:folded_hands::white_exclamation_mark::white_medium_star:星와:handshake:关注해주신사감리감좋은로보답하겠습니다:folded_hands::check_mark:wally-wally主页上的内容。
我的项目（投资组合）리스트가，알고리즘이내용이터추후githubTIL트리형태로구성해서github链接와정

Hands-OnComputerVisionwithJulia:BuildcomplexapplicationswithadvancedJuliapackagesforimageprocessing,neuralnetworks,andArtificialIntelligenceExplorethevariouspackagesinJuliathatsupportimageprocessingandbuildneuralnetworksforvideoprocessingandobjecttracking.KeyFeaturesBuildafull-fledgedimageprocessingapplicationusingJuliaImagesPerformbasictoadvancedimageandvideostreamprocessingwithJulia'sAPIsUnderstandandoptimizevariousfeaturesofOpenCVwitheasyexamplesBookDescriptionHands-OnComputerVisionwithJuliaisathoroughguidefordeveloperswhowanttogetstartedwithbuildingcomputervisionapplicationsusingJulia.Juliaiswellsuitedtoimageprocessingbecauseit'seasytouseandletsyouwriteeasy-to-compileandefficientmachinecode.ThisbookbeginsbyintroducingyoutoJulia'simageprocessinglibrariessuchasImages.jlandImageCore.jl.You'llgettogripswithanalyzingandtransformingimagesusingJuliaImages;someofthetechniquesdiscussedincludeenhancingandadjustingimages.Asyoumakeyourwaythroughthechapters,you'lllearnhowtoclassifyimages,clusterthem,andapplyneuralnetworkstosolvecomputervisionproblems.Intheconcludingchapters,youwillexploreOpenCVapplicationstoperformreal-timecomputervisionanalysis,forexample,facedetectionandobjecttracking.YouwillalsounderstandJulia'sinteractionwithTesseracttoperformopticalcharacterrecognitionandbuildanapplicationthatbringstogetherallthetechniquesweintroducedpreviouslytoconsolidatetheconceptslearned.Byendofthebook,youwillhaveunderstoodhowtoutilizevariousJuliapackagesandafewopensourcelibrariessuchasTesseractandOpenCVtosolvecomputervisionproblemswithease.WhatyouwilllearnAnalyzeimagemetadataandidentifycriticaldatausingJuliaImagesApplyfiltersandimproveimagequalityandcolorschemesExtract2Dfeaturesforimagecom

Hands-onTensorFlow2.0.pdf，　Hands-onTensorFlow2.0.pdf

Blynk,knownasthemostuser-friendlyIoTplatform,providesawaytobuildmobileapplicationsinminutes.WiththeBlynkdrag-n-dropmobileappbuilder,anyonecanbuildamazingIoTapplicationswithminimalresourcesandeffort,onhardwarerangingfromprototypingplatformssuchasArduinoandRaspberryPi3toindustrial-gradeESP8266,Intel,SierraWireless,Particle,TexasInstruments,andafewothers.ThisbookusesRaspberryPiasthemainhardwareplatformandC/C++towritesketchestobuildprojects.Thefirstpartofthisbookshowshowtosetupadevelopmentenvironmentwithvarioushardwarecombinationsandrequiredsoftware.ThenyouwillbuildyourfirstIoTapplicationwithBlynkusingvarioushardwarecombinationsandconnectivitytypessuchasEthernetandWi-Fi.Thenyou'lluseandconfigurevariouswidgets(control,display,notification,interface,timeinput,andsomeadvancedwidgets)withBlynkAppBuildertobuildapplications.Towardstheend,youwilllearnhowtoconnectwithandusebuilt-insensorsonAndroidandiOSmobiledevices.FinallyyouwilllearnhowtobuildarobotthatcanbecontrolledwithaBlynkappthroughtheBlynkcloudandpersonalserver.Bytheendofthisbook,youwillhavehands-onexperiencebuildingIoTapplicationsusingBlynk.WhatyouwilllearnBuilddevicesusingRaspberryPiandvarioussensorsandactuatorsUseBlynkcloudtoconnectandcontroldevicesthroughtheBlynkappConnectdevicestoBlynkcloudandserverthroughEthernetandWi-FiMakeapplicationsusingBlynkapps(AppBuilder)onAndroidandiOSplatformsRunBlynkpersonalserverontheWindows,MAC,andRaspberryPiplatformsWhoThisBookIsForThisbookistargetedatanystakeholderworkingintheIoTsectorwhowantstounderstandhowBlynkworksandbuildexcitingIoTprojects.PriorunderstandingofRaspberryPi,C/C++,andelectronicsisamust.TableofContentsSettingupDevelopmentEnvironmentBuildingyourFirstBly

Blynk,knownasthemostuser-friendlyIoTplatform,providesawaytobuildmobileapplicationsinminutes.WiththeBlynkdrag-n-dropmobileappbuilder,anyonecanbuildamazingIoTapplicationswithminimalresourcesandeffort,onhardwarerangingfromprototypingplatformssuchasArduinoandRaspberryPi3toindustrial-gradeESP8266,Intel,SierraWireless,Particle,TexasInstruments,andafewothers.ThisbookusesRaspberryPiasthemainhardwareplatformandC/C++towritesketchestobuildprojects.Thefirstpartofthisbookshowshowtosetupadevelopmentenvironmentwithvarioushardwarecombinationsandrequiredsoftware.ThenyouwillbuildyourfirstIoTapplicationwithBlynkusingvarioushardwarecombinationsandconnectivitytypessuchasEthernetandWi-Fi.Thenyou'lluseandconfigurevariouswidgets(control,display,notification,interface,timeinput,andsomeadvancedwidgets)withBlynkAppBuildertobuildapplications.Towardstheend,youwilllearnhowtoconnectwithandusebuilt-insensorsonAndroidandiOSmobiledevices.FinallyyouwilllearnhowtobuildarobotthatcanbecontrolledwithaBlynkappthroughtheBlynkcloudandpersonalserver.Bytheendofthisbook,youwillhavehands-onexperiencebuildingIoTapplicationsusingBlynk.WhatyouwilllearnBuilddevicesusingRaspberryPiandvarioussensorsandactuatorsUseBlynkcloudtoconnectandcontroldevicesthroughtheBlynkappConnectdevicestoBlynkcloudandserverthroughEthernetandWi-FiMakeapplicationsusingBlynkapps(AppBuilder)onAndroidandiOSplatformsRunBlynkpersonalserverontheWindows,MAC,andRaspberryPiplatformsWhoThisBookIsForThisbookistargetedatanystakeholderworkingintheIoTsectorwhowantstounderstandhowBlynkworksandbuildexcitingIoTprojects.PriorunderstandingofRaspberryPi,C/C++,andelectronicsisamust.TableofContentsSettingupDevelopmentEnvironmentBuildingyourFirstBly

ThisbookwillintroduceyoutothedevelopmentofmicroserviceswithRust.IstartedusingRustnotthatlongago,backin2015.Ithadonlybeenacoupleofmonthssincethereleaseofversion1.0and,atthattime,Ididn'tthinkthatthistoolwouldusherinasilentrevolutionthatwoulddisruptthetraditionsassociatedwithsystemprogra妹妹ing,which,atthattime,wastediousandinnowayfashionable.

hands-onmachinelearningwithscikit-learnandtensorflow代码谜底

应用Python进行强化学习实践，Hands-OnReinforcementLearning-SudharsanRavichandiran(带书签PDF+代码），434页材料。

著名的《Hands-OnMachineLearningwithScikit-LearnandTensorFlow》的中文翻译版PDF，由ApacheCN中文社区的机器学习爱好者们共同翻译。
一个人可以走的很快，但是一群人却可以走的更远。
这本书可以带领你入门机器学习，并掌握常用机器学习库的编程完成，在ML路上走得更远。

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。