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Mastering ROS for Robotics Programming（Second Edition）
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Mastering ROS for Robotics Programming（Second Edition）

IfyouarearoboticsenthusiastorresearcherwhowanttolearnmoreaboutbuildingrobotapplicationsusingROS,thisbookisforyou.Inordertolearnfromthisbook,youshouldhaveabasicknowledgeofROS,GNU/Linux,andC++programmingconcepts.ThebookisalsoexcellentforprogrammerswhowanttoexploretheadvancedfeaturesofROS.

Lentin Joseph Jonathan Cacace ·數(shù)據(jù)庫 ·9萬字

Data Analysis with Python
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Data Analysis with Python

DataAnalysiswithPythonoffersamodernapproachtodataanalysissothatyoucanworkwiththelatestandmostpowerfulPythontools,AItechniques,andopensourcelibraries.IndustryexpertDavidTaiebshowsyouhowtobridgedatasciencewiththepowerofprogrammingandalgorithmsinPython.You'llbeworkingwithcomplexalgorithms,andcutting-edgeAIinyourdataanalysis.Learnhowtoanalyzedatawithhands-onexamplesusingPython-basedtoolsandJupyterNotebook.You'llfindtherightbalanceoftheoryandpractice,withextensivecodefilesthatyoucanintegraterightintoyourowndataprojects.Explorethepowerofthisapproachtodataanalysisbythenworkingwithitacrosskeyindustrycasestudies.Fourfascinatingandfullprojectsconnectyoutothemostcriticaldataanalysischallengesyou’relikelytomeetintoday.ThefirstoftheseisanimagerecognitionapplicationwithTensorFlow–embracingtheimportancetodayofAIinyourdataanalysis.Thesecondindustryprojectanalysessocialmediatrends,exploringbigdataissuesandAIapproachestonaturallanguageprocessing.Thethirdcasestudyisafinancialportfolioanalysisapplicationthatengagesyouwithtimeseriesanalysis-pivotaltomanydatascienceapplicationstoday.Thefourthindustryusecasedivesyouintographalgorithmsandthepowerofprogramminginmoderndatascience.You'llwrapupwithathoughtfullookatthefutureofdatascienceandhowitwillharnessthepowerofalgorithmsandartificialintelligence.

David Taieb ·數(shù)據(jù)庫 ·8.9萬字

Internet of Things with Python
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Internet of Things with Python

InteractwiththeworldandrapidlyprototypeIoTapplicationsusingPythonAboutThisBook?RapidlyprototypeevencomplexIoTapplicationswithPythonandputthemtopracticaluse?EnhanceyourIoTskillswiththemostup-to-dateapplicabilityinthefieldofwearabletech,smartenvironments,andhomeautomation?Interactwithhardware,sensors,andactuatorsandcontrolyourDIYIoTprojectsthroughPythonWhoThisBookIsForThebookisidealforPythondeveloperswhowanttoexplorethetoolsinthePythonecosysteminordertobuildtheirownIoTapplicationsandworkonIoT-relatedprojects.ItisalsoaveryusefulresourcefordeveloperswithexperienceinotherprogramminglanguagesthatwanttoeasilyprototypeIoTapplicationswiththeIntelGalileoGen2board.WhatYouWillLearn?PrototypeanddevelopIoTsolutionsfromscratchwithPythonastheprogramminglanguage?DevelopIoTprojectswithIntelGalileoGen2boardalongwithPython?WorkwiththedifferentcomponentsincludedintheboardsusingPythonandtheMRAAlibrary?Interactwithsensors,actuators,andshields?WorkwithUARTandlocalstorage?InteractwithanyelectronicdevicethatsupportstheI2Cbus?Allowmobiledevicestointeractwiththeboard?Workwithreal-timeIoTandcloudservices?UnderstandBigDataandIoTanalyticsInDetailInternetofThings(IoT)isrevolutionizingthewaydevices/thingsinteractwitheachother.AndwhenyouhaveIoTwithPythononyourside,you'llbeabletobuildinteractiveobjectsanddesignthem.Thisbookletsyoustayattheforefrontofcutting-edgeresearchonIoT.We'llopenupthepossibilitiesusingtoolsthatenableyoutointeractwiththeworld,suchasIntelGalileoGen2,sensors,andotherhardware.Youwilllearnhowtoread,write,andconvertdigitalvaluestogenerateanalogoutputbyprogrammingPulseWidthModulation(PWM)inPython.Youwillgetfamiliarwiththecomplexcommunicationsystemincludedintheboard,soyoucaninteractwithanyshield,actuator,orsensor.Lateron,youwillnotonlyseehowtoworkwithdatareceivedfromthesensors,butalsoperformactionsbysendingthemtoaspecificshield.You'llbeabletoconnectyourIoTdevicetotheentireworld,byintegratingWiFi,Bluetooth,andInternetsettings.Witheverythingready,youwillseehowtoworkinrealtimeonyourIoTdeviceusingtheMQTTprotocolinpython.Bytheendofthebook,youwillbeabletodevelopIoTprototypeswithPython,libraries,andtools.StyleandapproachThisbooktakesatutorial-likeapproachwithmissioncriticalchapters.Theinitialchaptersareintroductionsthatsetthepremiseforusefulexamplescoveredinlaterchapters.

Gastón C. Hillar ·數(shù)據(jù)庫 ·8.6萬字

Lean Mobile App Development
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Lean Mobile App Development

Thisbookisfordevelopers,CTOs,andarchitectsworkingforastartuporanotherkindofleanstartupenvironment,suchasstart-upwithinacooperation.ItisisidealforanyiOSandAndroiddeveloperwhowantstobuildsuccessfulmobileappsbyadoptingtheleanstartupmethodology.

Mike van Drongelen Adam Dennis Richard Garabedian Alberto Gonzalez Aravind Krishnaswamy ·數(shù)據(jù)庫 ·8.8萬字

Learn Selenium
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Learn Selenium

SeleniumWebDriver3.xisanopensourceAPIfortestingbothbrowserandmobileapplications.Withthehelpofthisbook,youcanbuildasolidfoundationandcaneasilyperformend-to-endtestingonwebandmobilebrowsers.You'llbeginbybeingintroducedtotheSeleniumPageObjectModelforsoftwaredevelopment.You'llarchitectyourownframeworkwithascalabledriverclass,Javautilityclasses,andsupportforthird-partytoolsandplugins.You'lldesignandbuildaSeleniumgridfromscratchtoenabletheframeworktoscaleandsupportdifferentbrowsers,mobiledevices,andplatforms.You'llstrategizeandhandlearichwebUIusingtheadvancedWebDriverAPIandlearntechniquestohandlereal-timechallengesinWebDriver.You'llperformdifferenttypesoftesting,suchascross-browsertesting,loadtesting,andmobiletesting.Finally,youwillalsobeintroducedtodata-driventesting,usingTestNGtocreateyourownautomationframework.BytheendofthisLearningPath,you'llbeabletodesignyourownautomationtestingframeworkandperformdata-driventestingwithSeleniumWebDriver.ThisLearningPathincludescontentfromthefollowingPacktproducts:SeleniumWebDriver3PracticalGuide-SecondEditionbyUnmeshGundecha.SeleniumFrameworkDesigninData-DrivenTestingbyCarlCocchiaro.

Unmesh Gundecha Carl Cocchiaro ·數(shù)據(jù)庫 ·8.8萬字

Modern Programming: Object Oriented Programming and Best Practices
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Modern Programming: Object Oriented Programming and Best Practices

Discovertheuntappedfeaturesofobject-orientedprogramminganduseitwithothersoftwaretoolstocodefast,efficientapplications.KeyFeatures*Explorethecomplexitiesofobject-orientedprogramming(OOP)*DiscoverwhatOOPcandoforyou*LearntousethekeytoolsandsoftwareengineeringpracticestosupportyourownprogrammingneedsBookDescriptionYourexperienceandknowledgealwaysinfluencetheapproachyoutakeandthetoolsyouusetowriteyourprograms.Withasoundunderstandingofhowtoapproachyourgoalandwhatsoftwareparadigmstouse,youcancreatehigh-performingapplicationsquicklyandefficiently.Inthistwo-partbook,you’lldiscovertheuntappedfeaturesofobject-orientedprogramminganduseitwithothersoftwaretoolstocodefastandefficientapplications.ThefirstpartofthebookbeginswithadiscussiononhowOOPisusedtodayandmovesontoanalyzetheideasandproblemsthatOOPdoesn’taddress.ItcontinuesbydeconstructingthecomplexityofOOP,showingyouitsfundamentallysimplecore.You’llseethat,byusingthedistinctiveelementsofOOP,youcanlearntobuildyourapplicationsmoreeasily.Thenextpartofthisbooktalksaboutacquiringtheskillstobecomeabetterprogrammer.You’llgetanoverviewofhowvarioustools,suchasversioncontrolandbuildmanagement,helpmakeyourlifeeasier.Thisbookalsodiscussestheprosandconsofotherprogrammingparadigms,suchasaspect-orientedprogrammingandfunctionalprogramming,andhelpstoselectthecorrectapproachforyourprojects.Itendsbytalkingaboutthephilosophybehinddesigningsoftwareandwhatitmeanstobea"good"developer.Bytheendofthistwo-partbook,youwillhavelearnedthatOOPisnotalwayscomplex,andyouwillknowhowyoucanevolveintoabetterprogrammerbylearningaboutethics,teamwork,anddocumentation.Whatyouwilllearn*Untanglethecomplexityofobject-orientedprogrammingbybreakingitdowntoitsessentialbuildingblocks*RealizethefullpotentialofOOPtodesignefficient,maintainableprograms*Utilizecodingbestpractices,includingTDD,pairprogrammingandcodereviews,toimproveyourwork*Usetools,suchassourcecontrolandIDEs,toworkmoreefficiently*Learnhowtomostproductivelyworkwithotherdevelopers*BuildyourownsoftwaredevelopmentphilosophyWhothisbookisforThisbookisidealforprogrammerswhowanttounderstandthephilosophybehindcreatingsoftwareandwhatitmeanstobe“good”atdesigningsoftware.ProgrammerswhowanttodeconstructtheOOPparadigmandseehowitcanbereconstructedinaclear,straightforwardwaywillalsofindthisbookuseful.Tounderstandtheideasexpressedinthisbook,youmustbeanexperiencedprogrammerwhowantstoevolvetheirpractice.

Graham Lee ·數(shù)據(jù)庫 ·8.5萬字

臨危不懼：Oracle 11g數(shù)據(jù)庫恢復技術(shù)
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臨危不懼：Oracle 11g數(shù)據(jù)庫恢復技術(shù)

本書分為三大部分：恢復的原理、恢復的工具、恢復的具體步驟與實戰(zhàn)。第一部分能夠讓讀者領(lǐng)略恢復操作的本質(zhì)，是其他部分的理論基礎(chǔ)，包括“重做日志”、“控制文件”、“補充日志”；第二部分詳細地介紹了備份/恢復數(shù)據(jù)庫的工具，包括恢復管理器、恢復編錄和數(shù)據(jù)泵；第三部分以各種數(shù)據(jù)庫損毀場景為例，每一章解決一組特定的問題，其中：第7～11章討論各種文件（控制文件、數(shù)據(jù)文件等）遭到不同程度的破壞后，數(shù)據(jù)庫的行為特征及如何將其恢復；第12章探討如何將數(shù)據(jù)庫恢復至以前的時間點；第13章討論如何處理各種數(shù)據(jù)庫文件在沒有備份時受損的情況；第14章全面介紹了由于人為導致錯誤的各種閃回技術(shù)；第15章介紹將恢復的單位縮小，精確到數(shù)據(jù)塊級別，以提高恢復效率；第16章介紹一種非常規(guī)恢復的方法——挖掘日志。

包光磊編著 ·數(shù)據(jù)庫 ·15.4萬字

R語言醫(yī)學多元統(tǒng)計分析
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R語言醫(yī)學多元統(tǒng)計分析

隨著醫(yī)學研究和信息技術(shù)的快速發(fā)展，多元數(shù)據(jù)分析方法廣泛應用于醫(yī)學各個領(lǐng)域。R是一款優(yōu)秀的開源軟件，有著實用的統(tǒng)計計算與可視化功能。本書使用R語言，結(jié)合精選的醫(yī)學實例介紹常用多元統(tǒng)計分析方法。統(tǒng)計分析方法只有在實際應用中才能得到直接、生動的驗證。本書強調(diào)實戰(zhàn)和應用，盡量淡化統(tǒng)計公式的推導和計算過程。通過本書的學習，讀者能熟練使用R語言及相關(guān)包實現(xiàn)多元統(tǒng)計計算，還能更深入地理解多元數(shù)據(jù)分析方法。本書可作為醫(yī)學院校高年級本科生或研究生的多元統(tǒng)計分析課程教材，亦可作為其他專業(yè)讀者和科研工作者從事科研活動的參考資料。

趙軍 戴靜毅編著 ·數(shù)據(jù)庫 ·7.4萬字

Nagios Core Administrators Cookbook
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Nagios Core Administrators Cookbook

ThisbookiswritteninCookbookstyle,beginningwithrecipesbasedonbasicstructurewhichgraduallyprogressestowardsusingNagiosCoreasamonitoringframework.ThisbookisforSystemAdministratorswhoarelookingforrecipestohelpthemdealwithadvancednetworkmonitoringissueswithNagiosCore.

Tom Ryder ·數(shù)據(jù)庫 ·8.6萬字

Delphi High Performance
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Delphi High Performance

ThisbookisforDelphideveloperswhowouldliketobuildhighperformanceapplicationswithDelphi.PriorknowledgeofDelphiisassumed.

Primo? Gabrijelcic ·數(shù)據(jù)庫 ·8.6萬字

Mastering Machine Learning with R（Second Edition）
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Mastering Machine Learning with R（Second Edition）

Thisbookisfordatascienceprofessionals,dataanalysts,oranyonewithaworkingknowledgeofmachinelearning,withRwhonowwanttotaketheirskillstothenextlevelandbecomeanexpertinthefield.

Cory Lesmeister ·數(shù)據(jù)庫 ·8.6萬字

Hands-On Design Patterns with Swift
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Hands-On Design Patterns with Swift

SwiftkeepsgainingtractionnotonlyamongstAppledevelopersbutalsoasaserver-sidelanguage.Thisbookdemonstrateshowtoapplydesignpatternsandbestpracticesinreal-lifesituations,whetherthat'sforneworalreadyexistingprojects.You’llbeginwithaquickrefresheronSwift,thecompiler,thestandardlibrary,andthefoundation,followedbytheCocoadesignpatterns–theonesatthecoreofmanycocoalibraries–tofollowupwiththecreational,structural,andbehavioralpatternsasdefinedbytheGoF.You'llgetacquaintedwithapplicationarchitecture,aswellasthemostpopulararchitecturaldesignpatterns,suchasMVCandMVVM,andlearntousetheminthecontextofSwift.Inaddition,you’llwalkthroughdependencyinjectionandfunctionalreactiveprogramming.Specialemphasiswillbegiventotechniquestohandleconcurrency,includingcallbacks,futuresandpromises,andreactiveprogramming.Thesetechniqueswillhelpyouadoptatest-drivenapproachtoyourworkflowinordertouseSwiftPackageManagerandintegratetheframeworkintotheoriginalcodebase,alongwithUnitandUItesting.Bytheendofthebook,you'llbeabletobuildapplicationsthatarescalable,faster,andeasiertomaintain.

Florent Vilmart Giordano Scalzo Sergio De Simone ·數(shù)據(jù)庫 ·8.6萬字

大數(shù)據(jù)定義智能運維
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大數(shù)據(jù)定義智能運維

無數(shù)據(jù)，不AI。而沒有統(tǒng)一完整的基礎(chǔ)數(shù)據(jù)資源平臺管理，AIOps也無從談起。基礎(chǔ)運維數(shù)據(jù)資源平臺是AIOps的數(shù)據(jù)基石，也是未來支撐企業(yè)數(shù)據(jù)戰(zhàn)略的兩大數(shù)據(jù)平臺之一。構(gòu)建數(shù)據(jù)平臺需要數(shù)據(jù)治理工作的保駕護航。然而在運維數(shù)據(jù)治理領(lǐng)域開展數(shù)據(jù)治理工作尚屬空白，缺乏理論體系支撐和值得借鑒的成功經(jīng)驗。本書在分析運維數(shù)據(jù)治理與傳統(tǒng)數(shù)據(jù)治理的差異化特點基礎(chǔ)上，對于數(shù)據(jù)治理的DAMA理論體系在運維數(shù)據(jù)管理領(lǐng)域?qū)崿F(xiàn)了在廣義元數(shù)據(jù)管理、廣義數(shù)據(jù)標準、廣義數(shù)據(jù)模型等理論突破，創(chuàng)造性的提出運維數(shù)據(jù)模型建設(shè)，為運維數(shù)據(jù)治理構(gòu)建了體系化理論并提供了具有方法論支撐的完整藍圖。同時，就運維數(shù)據(jù)平臺建設(shè)本書也分享了基于數(shù)據(jù)模型實體庫的概要設(shè)計，以數(shù)據(jù)湖為基礎(chǔ)，包含運維數(shù)據(jù)中臺建設(shè)的架構(gòu)規(guī)劃。本書還在工業(yè)運維領(lǐng)域略作延展，分析工業(yè)運維數(shù)據(jù)模型的差異化特點，就包括數(shù)字孿生、時空數(shù)據(jù)等關(guān)鍵工業(yè)技術(shù)為核心的物理融合技術(shù)做了介紹，提出了開展智能工業(yè)運維的必要內(nèi)容。

湯濱 ·數(shù)據(jù)庫 ·7.8萬字

大數(shù)據(jù)數(shù)學基礎(chǔ)（R語言描述）
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大數(shù)據(jù)數(shù)學基礎(chǔ)（R語言描述）

本書全面地講解了在科學領(lǐng)域運用廣泛的數(shù)據(jù)微積分、線性代數(shù)、統(tǒng)計學、數(shù)值計算、多元統(tǒng)計分析等數(shù)學基礎(chǔ)知識。全書共6章：第1章介紹了大數(shù)據(jù)與數(shù)學、數(shù)學與R語言的關(guān)系；第2章介紹了微積分的基礎(chǔ)知識，包括函數(shù)、極限、導數(shù)、微分、不定積分與定積分及其應用；第3章介紹了線性代數(shù)的基礎(chǔ)知識，包括矩陣的運算、行列式、特征分解、奇異值分解；第4章介紹了統(tǒng)計學的基礎(chǔ)知識，包括數(shù)據(jù)分布特征、概率論、隨機變量的數(shù)字特征、參數(shù)估計、假設(shè)檢驗；第5章介紹了數(shù)值計算的基礎(chǔ)知識，包括插值方法、函數(shù)逼近與擬合、非線性方程（組）求根；第6章介紹了常用的多元統(tǒng)計分析方法，包括回歸分析、聚類分析、判別分析、主成分分析、因子分析和典型相關(guān)分析。本書中的幾乎所有實例都結(jié)合R語言進行求解分析，所有章后都有課后習題，可以幫助讀者鞏固所學的內(nèi)容。

程丹 張良均 ·數(shù)據(jù)庫 ·7.7萬字

實戰(zhàn)大數(shù)據(jù)：分布式大數(shù)據(jù)分析處理系統(tǒng)開發(fā)與應用
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實戰(zhàn)大數(shù)據(jù)：分布式大數(shù)據(jù)分析處理系統(tǒng)開發(fā)與應用

實戰(zhàn)大數(shù)據(jù)——分布式大數(shù)據(jù)分析處理系統(tǒng)開發(fā)與應用，從大數(shù)據(jù)技術(shù)基礎(chǔ)概念出發(fā)，介紹了大數(shù)據(jù)分析的流程和大數(shù)據(jù)分析處理系統(tǒng)的組成，以及大數(shù)據(jù)集群的搭建，并在此基礎(chǔ)上講解了多種不同技術(shù)構(gòu)成的離線/實時數(shù)據(jù)分析系統(tǒng)實戰(zhàn)項目。全書共10章，包括大數(shù)據(jù)概述、大數(shù)據(jù)分析的基本流程與工具、分布式大數(shù)據(jù)分析處理系統(tǒng)概述、構(gòu)建大數(shù)據(jù)集群環(huán)境、構(gòu)建基于LayUI的集群管理系統(tǒng)、基于HBase的大數(shù)據(jù)離線分析系統(tǒng)、基于Hive+Hadoop+Spark的大數(shù)據(jù)離線分析系統(tǒng)、基于MySQL+Spark的大數(shù)據(jù)離線分析系統(tǒng)、基于Redis+Kafka+Spark的大數(shù)據(jù)實時分析系統(tǒng)、基于Flume+Kafka+Flink的大數(shù)據(jù)實時分析系統(tǒng)。實戰(zhàn)大數(shù)據(jù)——分布式大數(shù)據(jù)分析處理系統(tǒng)開發(fā)與應用，適合從事大數(shù)據(jù)系統(tǒng)搭建與運維、大數(shù)據(jù)分析等崗位的技術(shù)人員閱讀，也適合高等院校大數(shù)據(jù)相關(guān)專業(yè)的學生使用。

井超 楊俊 喬鋼柱編著 ·數(shù)據(jù)庫 ·7.2萬字

大數(shù)據(jù)測試技術(shù)：數(shù)據(jù)采集、分析與測試實踐（在線實驗+在線自測）
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大數(shù)據(jù)測試技術(shù)：數(shù)據(jù)采集、分析與測試實踐（在線實驗+在線自測）

本書從工程角度出發(fā)，闡述了運用大數(shù)據(jù)技術(shù)進行軟件測試的方法和實現(xiàn)過程。全書共11章，介紹了大數(shù)據(jù)測試思維、手機聯(lián)網(wǎng)數(shù)據(jù)的收集方法、數(shù)據(jù)格式的轉(zhuǎn)換方法、大數(shù)據(jù)的處理方法、軟件缺陷挖掘技術(shù)及實踐項目的應用等。本書第1章介紹了大數(shù)據(jù)的測試方法和思維方式，隨后每一章都通過案例來講解大數(shù)據(jù)技術(shù)的相關(guān)理論及其測試應用。除第1章外，每章最后都提供了思考題來幫助讀者回顧和鞏固本章的學習內(nèi)容，本書最后還提供了思考題的參考答案。同時，本書對每一個案例進行了詳細圖例展示和講解。

劉攀 ·數(shù)據(jù)庫 ·8.3萬字

Python數(shù)據(jù)分析從小白到專家
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Python數(shù)據(jù)分析從小白到專家

本書共13章，主要內(nèi)容涵蓋Python語法及數(shù)據(jù)分析方法。第1章主要介紹數(shù)據(jù)分析的概念，使讀者有一個大致的印象，并簡單介紹本書頻繁使用的Python的5個第三方庫。第2章主要做一些準備工作，手把手帶讀者搭建Python環(huán)境，包括Python3.7.6的安裝和pip的安裝。第3章介紹Python編程基礎(chǔ)。第4章到第7章介紹使用Python進行簡單數(shù)據(jù)分析的基礎(chǔ)庫，包括NumPy、Pandas和Matplotlib庫，并介紹使用正則表達式處理數(shù)據(jù)的方法。第8章到第13章屬于進階內(nèi)容，但也是Python數(shù)據(jù)分析的基礎(chǔ)，結(jié)合機器學習介紹一些常見的用于數(shù)據(jù)分析的機器學習算法及常用的數(shù)學模型。

田越編著 ·數(shù)據(jù)庫 ·8.4萬字

Mastering Java for Data Science
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Mastering Java for Data Science

ThisbookisintendedforsoftwareengineerswhoarecomfortablewithdevelopingJavaapplicationsandarefamiliarwiththebasicconceptsofdatascience.Additionally,itwillalsobeusefulfordatascientistswhodonotyetknowJavabutwantorneedtolearnit.Ifyouarewillingtobuildefficientdatascienceapplicationsandbringthemintheenterpriseenvironmentwithoutchangingtheexistingstack,thisbookisforyou!

Alexey Grigorev ·數(shù)據(jù)庫 ·8.3萬字

Hands-On Deep Learning for Games
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Hands-On Deep Learning for Games

Thenumberofapplicationsofdeeplearningandneuralnetworkshasmultipliedinthelastcoupleofyears.Neuralnetshasenabledsignificantbreakthroughsineverythingfromcomputervision,voicegeneration,voicerecognitionandself-drivingcars.Gamedevelopmentisalsoakeyareawherethesetechniquesarebeingapplied.Thisbookwillgiveanindepthviewofthepotentialofdeeplearningandneuralnetworksingamedevelopment.Wewilltakealookatthefoundationsofmulti-layerperceptron’stousingconvolutionalandrecurrentnetworks.InapplicationsfromGANsthatcreatemusicortexturestoself-drivingcarsandchatbots.Thenweintroducedeepreinforcementlearningthroughthemulti-armedbanditproblemandotherOpenAIGymenvironments.AsweprogressthroughthebookwewillgaininsightsaboutDRLtechniquessuchasMotivatedReinforcementLearningwithCuriosityandCurriculumLearning.WealsotakeacloserlookatdeepreinforcementlearningandinparticulartheUnityML-Agentstoolkit.Bytheendofthebook,wewilllookathowtoapplyDRLandtheML-Agentstoolkittoenhance,testandautomateyourgamesorsimulations.Finally,wewillcoveryourpossiblenextstepsandpossibleareasforfuturelearning.

Micheal Lanham ·數(shù)據(jù)庫 ·8.2萬字

高維數(shù)據(jù)分析預處理技術(shù)
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高維數(shù)據(jù)分析預處理技術(shù)

作者針對高維稀疏數(shù)據(jù)挖掘問題，從數(shù)據(jù)預處理的角度，研究對象—屬性空間的劃分問題，其目的是把所研究的數(shù)據(jù)挖掘空間分解為若干規(guī)模較小的對象：屬性空間，從而降低實際數(shù)據(jù)挖掘的難度。本書針對高維稀疏數(shù)據(jù)挖掘問題，以降低數(shù)據(jù)挖掘規(guī)模，建立了體系完整的數(shù)據(jù)預處理理論和方法，具有很強的理論意義和實際應用前景。

祝琴 ·數(shù)據(jù)庫 ·6.4萬字

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