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PyTorch Deep Learning Hands-On

PyTorchDeepLearningHands-Onisabookforengineerswhowantafast-pacedguidetodoingdeeplearningworkwithPytorch.Itisnotanacademictextbookanddoesnottrytoteachdeeplearningprinciples.ThebookwillhelpyoumostifyouwanttogetyourhandsdirtyandputPyTorchtoworkquickly.PyTorchDeepLearningHands-OnshowshowtoimplementthemajordeeplearningarchitecturesinPyTorch.Itcoversneuralnetworks,computervision,CNNs,naturallanguageprocessing(RNN),GANs,andreinforcementlearning.YouwillalsobuilddeeplearningworkflowswiththePyTorchframework,migratemodelsbuiltinPythontohighlyefficientTorchScript,anddeploytoproductionusingthemostsophisticatedavailabletools.Eachchapterfocusesonadifferentareaofdeeplearning.Chaptersstartwitharefresheronhowthemodelworks,beforesharingthecodeyouneedtoimplementtheminPyTorch.ThisbookisidealifyouwanttorapidlyaddPyTorchtoyourdeeplearningtoolset.

·6.4萬字

ArchiCAD 19：The Definitive Guide

Thisbookisforarchitects,architecturaltechnicians,andconstructionprofessionalswhoarefamiliarwith2DCADprogramssuchasAutoCADLite,orhavesomeexposuretoa3DBIMpackagesuchasRevit.NoexperiencewithArchiCADisrequired.Ifyouwanttolearntheskillsneededforarchitecturaldrawingproductionintherealworld,thenthisbookisforyou.

工業機器人離線編程與仿真（ROBOGUIDE）

本書以FANUC機器人為對象，介紹工業機器人離線編程與仿真的基本知識、軟件操作、模擬仿真和離線程序設計。全書共分3篇7個項目，主要內容包括初識離線編程仿真軟件、創建仿真機器人工作站、離線示教編程與程序修正、基礎搬運的離線仿真、分揀搬運的離線仿真、軌跡繪制與軌跡自動規劃的編程、基于機器人-變位機系統的焊接作業編程。

Microsoft System Center Configuration Manager Advanced Deployment

IfyouareanexperiencedConfigurationManageradministratorlookingtoadvanceyourcareerorgetmorefromyourcurrentenvironment,thenthisbookisidealforyou.PriorexperienceofdeployingandmanagingaConfigurationManagersitewouldbehelpfulinfollowingtheexamplesthroughoutthisbook.

Mastering Mesos

ThebookaimstoserveDevOpsengineersandsystemadministratorswhoarefamiliarwiththebasicsofmanagingaLinuxsystemanditstools

Apache Spark Deep Learning Cookbook

Withdeeplearninggainingrapidmainstreamadoptioninmodern-dayindustries,organizationsarelookingforwaystounitepopularbigdatatoolswithhighlyefficientdeeplearninglibraries.Asaresult,thiswillhelpdeeplearningmodelstrainwithhigherefficiencyandspeed.WiththehelpoftheApacheSparkDeepLearningCookbook,you’llworkthroughspecificrecipestogenerateoutcomesfordeeplearningalgorithms,withoutgettingboggeddownintheory.FromsettingupApacheSparkfordeeplearningtoimplementingtypesofneuralnet,thisbooktacklesbothcommonandnotsocommonproblemstoperformdeeplearningonadistributedenvironment.Inadditiontothis,you’llgetaccesstodeeplearningcodewithinSparkthatcanbereusedtoanswersimilarproblemsortweakedtoanswerslightlydifferentproblems.YouwillalsolearnhowtostreamandclusteryourdatawithSpark.Onceyouhavegottogripswiththebasics,you’llexplorehowtoimplementanddeploydeeplearningmodels,suchasConvolutionalNeuralNetworks(CNN)andRecurrentNeuralNetworks(RNN)inSpark,usingpopularlibrariessuchasTensorFlowandKeras.Bytheendofthebook,you'llhavetheexpertisetotrainanddeployefficientdeeplearningmodelsonApacheSpark.

Mastering Metasploit

Thisbookisahands-onguidetopenetrationtestingusingMetasploitandcoversitscompletedevelopment.ItshowsanumberoftechniquesandmethodologiesthatwillhelpyoumastertheMetasploitframeworkandexploreapproachestocarryingoutadvancedpenetrationtestinginhighlysecuredenvironments.

Data Science for Marketing Analytics

DataScienceforMarketingAnalyticscoverseverystageofdataanalytics,fromworkingwitharawdatasettosegmentingapopulationandmodelingdifferentpartsofthepopulationbasedonthesegments.ThebookstartsbyteachingyouhowtousePythonlibraries,suchaspandasandMatplotlib,toreaddatafromPython,manipulateit,andcreateplots,usingbothcategoricalandcontinuousvariables.Then,you'lllearnhowtosegmentapopulationintogroupsandusedifferentclusteringtechniquestoevaluatecustomersegmentation.Asyoumakeyourwaythroughthechapters,you'llexplorewaystoevaluateandselectthebestsegmentationapproach,andgoontocreatealinearregressionmodeloncustomervaluedatatopredictlifetimevalue.Intheconcludingchapters,you'llgainanunderstandingofregressiontechniquesandtoolsforevaluatingregressionmodels,andexplorewaystopredictcustomerchoiceusingclassificationalgorithms.Finally,you'llapplythesetechniquestocreateachurnmodelformodelingcustomerproductchoices.Bytheendofthisbook,youwillbeabletobuildyourownmarketingreportingandinteractivedashboardsolutions.

Learning Apache Apex

ThisbookassumesknowledgeofapplicationdevelopmentwithJavaandfamiliaritywithdistributedsystems.Familiaritywithotherreal-timestreamingframeworksisnotrequired,butsomepracticalexperiencewithotherbigdataprocessingutilitiesmightbehelpful.

R Machine Learning By Example

Ifyouareinterestedinminingusefulinformationfromdatausingstate-of-the-arttechniquestomakedata-drivendecisions,thisisago-toguideforyou.Nopriorexperiencewithdatascienceisrequired,althoughbasicknowledgeofRishighlydesirable.Priorknowledgeinmachinelearningwouldbehelpfulbutisnotnecessary.

Healthcare Analytics Made Simple

Inrecentyears,machinelearningtechnologiesandanalyticshavebeenwidelyutilizedacrossthehealthcaresector.HealthcareAnalyticsMadeSimplebridgesthegapbetweenpractisingdoctorsanddatascientists.Itequipsthedatascientists’workwithhealthcaredataandallowsthemtogainbetterinsightfromthisdatainordertoimprovehealthcareoutcomes.Thisbookisacompleteoverviewofmachinelearningforhealthcareanalytics,brieflydescribingthecurrenthealthcarelandscape,machinelearningalgorithms,andPythonandSQLprogramminglanguages.Thestep-by-stepinstructionsteachyouhowtoobtainrealhealthcaredataandperformdescriptive,predictive,andprescriptiveanalyticsusingpopularPythonpackagessuchaspandasandscikit-learn.Thelatestresearchresultsindiseasedetectionandhealthcareimageanalysisarereviewed.Bytheendofthisbook,youwillunderstandhowtousePythonforhealthcaredataanalysis,howtoimport,collect,clean,andrefinedatafromelectronichealthrecord(EHR)surveys,andhowtomakepredictivemodelswiththisdatathroughreal-worldalgorithmsandcodeexamples.

Statistics for Data Science

Thisbookisintendedforthosedeveloperswhoarewillingtoenterthefieldofdatascienceandarelookingforconciseinformationofstatisticswiththehelpofinsightfulprogramsandsimpleexplanation.SomebasichandsonRwillbeuseful.

數字媒體交互設計原理與方法

《數字媒體交互設計原理與方法》通過豐富的案例，系統地講解了數字媒體交互設計的基本原理和方法。本書共7章，主要講解了數字媒體交互設計的基礎知識、用戶體驗、用戶研究方法，以及設計流程、設計工具和設計法則，由淺入深地帶領讀者逐步加深對數字媒體交互設計的認知，提升自身工作能力。本書每一章的章末都附有同步模擬題及作業，以幫助讀者檢驗知識掌握程度并學會靈活運用所學知識。內容豐富，結構清晰，語言簡練，圖文并茂，具有較強的實用性和參考性，不僅可以作為備考數字媒體交互設計“1+X”職業技能等級證書的教材，也可作為各院校及培訓機構相關專業的輔導書，還可作為數字媒體交互設計愛好者的參考用書。

Hands-On Deep Learning Architectures with Python

Deeplearningarchitecturesarecomposedofmultilevelnonlinearoperationsthatrepresenthigh-levelabstractions;thisallowsyoutolearnusefulfeaturerepresentationsfromthedata.Thisbookwillhelpyoulearnandimplementdeeplearningarchitecturestoresolvevariousdeeplearningresearchproblems.Hands-OnDeepLearningArchitectureswithPythonexplainstheessentiallearningalgorithmsusedfordeepandshallowarchitectures.Packedwithpracticalimplementationsandideastohelpyoubuildefficientartificialintelligencesystems(AI),thisbookwillhelpyoulearnhowneuralnetworksplayamajorroleinbuildingdeeparchitectures.Youwillunderstandvariousdeeplearningarchitectures(suchasAlexNet,VGGNet,GoogleNet)witheasy-to-followcodeanddiagrams.Inadditiontothis,thebookwillalsoguideyouinbuildingandtrainingvariousdeeparchitecturessuchastheBoltzmannmechanism,autoencoders,convolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),naturallanguageprocessing(NLP),GAN,andmore—allwithpracticalimplementations.Bytheendofthisbook,youwillbeabletoconstructdeepmodelsusingpopularframeworksanddatasetswiththerequireddesignpatternsforeacharchitecture.Youwillbereadytoexplorethepotentialofdeeparchitecturesintoday'sworld.

Visualforce Development Cookbook（Second Edition）

Thisbookwillbebeneficialtodeveloperswhoarealreadywell-versedwiththebasicsofVisualforce.Anawarenessofthestandardcomponentlibraryandthepurposeofcontrollersisexpected.

影視后期制作（Avid Media Composer 5.0）

本書針對于計算機技能大賽和數字媒體類的學生編寫，全書通過實例的學習和制作掌握AVID軟件的操作，書中實例融入了AVID軟件基本操作的知識點，先是通過簡單實例引導學生對基本操作的學習，然后通過小型的綜合實例讓學生學會綜合應用，最后利用綜合短片讓學生自由發揮，更好的掌握AVID軟件的使用。

ABB工業機器人虛擬仿真教程

隨著工業機器人應用水平的不斷提升，越來越多的生產企業加入應用工業機器人的隊列。這就使得調試工業機器人的工程技術人員數量不斷攀升，在調試過程中暴露出的問題也在不斷增加。本書根據大量對仿真的實際需求，以ABB公司的工業機器人仿真軟件RobotStudio為基礎，詳細講述ABB工業機器人仿真軟件從基礎仿真到高級Smart組件的實際應用，內容分為基礎篇和進階篇：基礎篇包括6個章節，詳細講述什么是工業機器人仿真、創建工業機器人仿真工作站的方法、如何在仿真工作站中建模、如何進行ABB工業機器人離線編程、事件管理器的使用方法、Smart組件的使用方法等，內容循序漸進，是初學者必備的入門基礎知識；進階篇包括4個實戰項目，詳細講述利用Smart組件為碼垛、拆垛、壓鑄、搬運工作站進行動態仿真的操作步驟，內容深入淺出，結合案例，幫助讀者加強實戰能力。本書內容貼合實際、效果逼真，既適合在校學生學習、研究，也適合廣大工程技術人員學習、參考。

·6.1萬字

Hands-On Deep Learning with Apache Spark

Deeplearningisasubsetofmachinelearningwheredatasetswithseverallayersofcomplexitycanbeprocessed.Hands-OnDeepLearningwithApacheSparkaddressesthesheercomplexityoftechnicalandanalyticalpartsandthespeedatwhichdeeplearningsolutionscanbeimplementedonApacheSpark.ThebookstartswiththefundamentalsofApacheSparkanddeeplearning.YouwillsetupSparkfordeeplearning,learnprinciplesofdistributedmodeling,andunderstanddifferenttypesofneuralnets.Youwillthenimplementdeeplearningmodels,suchasconvolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),andlongshort-termmemory(LSTM)onSpark.Asyouprogressthroughthebook,youwillgainhands-onexperienceofwhatittakestounderstandthecomplexdatasetsyouaredealingwith.Duringthecourseofthisbook,youwillusepopulardeeplearningframeworks,suchasTensorFlow,Deeplearning4j,andKerastotrainyourdistributedmodels.Bytheendofthisbook,you'llhavegainedexperiencewiththeimplementationofyourmodelsonavarietyofusecases.

·6.1萬字