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Learning C for Arduino

Thisbookisforhobbyistswhohavenoknowledgeaboutprogrammingandmicrocontrollers,butarekeentolearnCprogrammingusingaveryaffordablehardwaredevice.

Multimedia Programming with Pure Data

Aquickandcomprehensivetutorialbookformediadesignerstojump-startinteractivemultimediaproductionwithcomputergraphics,digitalaudio,digitalvideo,andinteractivity,usingthePureDatagraphicalprogrammingenvironment.Anintroductorybookonmultimediaprogrammingformediaartists/designerswholiketoworkoninteractivityintheirprojects,digitalart/designstudentswholiketolearnthefirstmultimediaprogrammingtechnique,andaudio-visualperformerswholiketocustomizetheirperformancesets

·4.8萬字

Hands-On Big Data Modeling

Modelingandmanagingdataisacentralfocusofallbigdataprojects.Infact,adatabaseisconsideredtobeeffectiveonlyifyouhavealogicalandsophisticateddatamodel.Thisbookwillhelpyoudeveloppracticalskillsinmodelingyourownbigdataprojectsandimprovetheperformanceofanalyticalqueriesforyourspecificbusinessrequirements.Tostartwith,you’llgetaquickintroductiontobigdataandunderstandthedifferentdatamodelinganddatamanagementplatformsforbigdata.Thenyou’llworkwithstructuredandsemi-structureddatawiththehelpofreal-lifeexamples.Onceyou’vegottogripswiththebasics,you’llusetheSQLDeveloperDataModelertocreateyourowndatamodelscontainingdifferentfiletypessuchasCSV,XML,andJSON.You’llalsolearntocreategraphdatamodelsandexploredatamodelingwithstreamingdatausingreal-worlddatasets.Bytheendofthisbook,you’llbeabletodesignanddevelopefficientdatamodelsforvaryingdatasizeseasilyandefficiently.

Generative Adversarial Networks Cookbook

DevelopingGenerativeAdversarialNetworks(GANs)isacomplextask,anditisoftenhardtofindcodethatiseasytounderstand.ThisbookleadsyouthrougheightdifferentexamplesofmodernGANimplementations,includingCycleGAN,simGAN,DCGAN,and2Dimageto3Dmodelgeneration.EachchaptercontainsusefulrecipestobuildonacommonarchitectureinPython,TensorFlowandKerastoexploreincreasinglydifficultGANarchitecturesinaneasy-to-readformat.ThebookstartsbycoveringthedifferenttypesofGANarchitecturetohelpyouunderstandhowthemodelworks.ThisbookalsocontainsintuitiverecipestohelpyouworkwithusecasesinvolvingDCGAN,Pix2Pix,andsoon.Tounderstandthesecomplexapplications,youwilltakedifferentreal-worlddatasetsandputthemtouse.Bytheendofthisbook,youwillbeequippedtodealwiththechallengesandissuesthatyoumayfacewhileworkingwithGANmodels,thankstoeasy-to-followcodesolutionsthatyoucanimplementrightaway.

Mastering Microsoft Dynamics 365 Customer Engagement

MicrosoftDynamics365isanall-in-onebusinessmanagementsolutionthat'seasytouseandadapt.Ithelpsyouconnectyourfinances,sales,service,andoperationstostreamlinebusinessprocesses,improvecustomerinteractions,andenablegrowth.ThisbookgivesyoualltheinformationyouneedtobecomeanexpertinMSDynamics365.ThisbookstartswithabriefoverviewofthefunctionalfeaturesofDynamics365.YouwilllearnhowtocreateWordandExceltemplatesusingCRMdatatoenablecustomizeddataanalysisforyourorganization.ThisbookhelpsyouunderstandhowtouseDynamics365asanXRMFramework,gainadeepunderstandingofclient-sidescriptinginDynamics365,andcreateclient-sideapplicationsusingJavaScriptandtheWebAPI.Inadditiontothis,youwilldiscoverhowtocustomizeDynamics365,andquicklymoveontograsptheappstructure,whichhelpsyoucustomizeDynamics365better.YouwillalsolearnhowDynamics365canbeseamlesslyembeddedintovariousproductivitytoolstocustomizethemformachinelearningandcontextualguidance.Bytheendofthisbook,youwillhavemasteredutilizingDynamics365featuresthroughreal-worldscenarios.

Practical OneOps

ThisbooktargetsDevOpswhowanttouseOneOpsdailytodeploytheirapplications,andSysadminswhowillbeadministeringthoseapplications.

Machine Learning Quick Reference

Machinelearningmakesitpossibletolearnabouttheunknownsandgainhiddeninsightsintoyourdatasetsbymasteringmanytoolsandtechniques.Thisbookguidesyoutodojustthatinaverycompactmanner.Aftergivingaquickoverviewofwhatmachinelearningisallabout,MachineLearningQuickReferencejumpsrightintoitscorealgorithmsanddemonstrateshowtheycanbeappliedtoreal-worldscenarios.Frommodelevaluationtooptimizingtheirperformance,thisbookwillintroduceyoutothebestpracticesinmachinelearning.Furthermore,youwillalsolookatthemoreadvancedaspectssuchastrainingneuralnetworksandworkwithdifferentkindsofdata,suchastext,time-series,andsequentialdata.Advancedmethodsandtechniquessuchascausalinference,deepGaussianprocesses,andmorearealsocovered.Bytheendofthisbook,youwillbeabletotrainfast,accuratemachinelearningmodelsatyourfingertips,whichyoucaneasilyuseasapointofreference.

Apache Tomcat 7 Essentials

Thisbookisastep-by-steptutorialforanyonewantingtolearnApacheTomcat7fromscratch.Thereareplentyofillustrationsandexamplestoescalateyoufromanovicetoanexpertwithminimalstrain.IfyouareaJ2EEadministrator,migrationadministrator,technicalarchitect,oraprojectmanagerforawebhostingdomain,andareinterestedinApacheTomcat7,thenthisbookisforyou.Ifyouaresomeoneresponsibleforinstallation,configuration,andmanagementofTomcat7,thentoo,thisbookwillbeofhelptoyou.

排爆機器人的研究與開發

本書以作者所作博士后研究工作報告為背景，以排爆機器人機械臂單關節遙控操作、聯動遙控操作、機械手一次自動到位遙控操作3種工作模式為中心，進行了深入的研究與開發。在特殊約束條件下，解決了5自由度機器手逆運動學求解困難的問題。應用“雙目立體視覺”技術，解決了爆炸物目標測距的問題。運用觀測圖像，實現了排爆機器人手爪柔性控制策略，保障了抓取爆炸物的安全，研制出了具有自主知識產權的排爆機器人。

·10.5萬字

SQL Server 2017 Machine Learning Services with R

Thisbookisfordataanalysts,datascientists,anddatabaseadministratorswithsomeornoexperienceinRbutwhoareeagertoeasilydeliverpracticaldatasciencesolutionsintheirday-to-daywork(orfutureprojects)usingSQLServer.

Mastering ServiceNow Scripting

ThisbookistargetedtowardServiceNowadministratorsoranyonewillingtolearninbuiltJavaScriptAPIsusedtoscriptandcustomizeServiceNowinstances.PriorexperiencewithServiceNowisrequired.

Practical Network Automation

Ifyouareanetworkengineerlookingforanextensiveguidetohelpyouautomateandmanageyournetworkefficiently,thenthisbookisforyou.

Hands-On Data Science with Anaconda

Hands-OnDataSciencewithAnacondaisforyouifyouareadeveloperwhoislookingforthebesttoolsinthemarkettoperformdatascience.It’salsoidealfordataanalystsanddatascienceprofessionalswhowanttoimprovetheefficiencyoftheirdatascienceapplicationsbyusingthebestlibrariesinmultiplelanguages.BasicprogrammingknowledgewithRorPythonandintroductoryknowledgeoflinearalgebraisexpected.

Hands-On Q-Learning with Python

Q-learningisamachinelearningalgorithmusedtosolveoptimizationproblemsinartificialintelligence(AI).ItisoneofthemostpopularfieldsofstudyamongAIresearchers.ThisbookstartsoffbyintroducingyoutoreinforcementlearningandQ-learning,inadditiontohelpingyougetfamiliarwithOpenAIGymaswellaslibrariessuchasKerasandTensorFlow.Afewchaptersintothebook,youwillgaininsightsintomodelfreeQ-learningandusedeepQ-networksanddoubledeepQ-networkstosolvecomplexproblems.Thisbookwillguideyouinexploringusecasessuchasself-drivingvehiclesandOpenAIGym’sCartPoleproblem.YouwillalsolearnhowtotuneandoptimizeQ-networksandtheirhyperparameters.Asyouprogress,youwillunderstandthereinforcementlearningapproachtosolvingreal-worldproblems.YouwillalsoexplorehowtouseQ-learningandrelatedalgorithmsinreal-worldapplicationssuchasscientificresearch.Towardtheend,you’llgainasenseofwhat’sinstoreforreinforcementlearning.Bytheendofthisbook,youwillbeequippedwiththeskillsyouneedtosolvereinforcementlearningproblemsusingQ-learningalgorithmswithOpenAIGym,Keras,andTensorFlow.

從0到1 TensorFlow編程手記

TensorFlow是谷歌大腦小組（隸屬于谷歌機器智能研究機構）研發的數據流圖，是用于數值計算的開源軟件庫，主要應用于人工智能領域。基于TensorFlow靈活的架構，用戶可以在多種平臺上展開數值計算。本書從TensorFlow環境搭建入手，逐步介紹如何用TensorFlow進行線性回歸模型、卷積神經網絡的搭建、訓練和預測，涉及PC、Android移動終端、樹莓派等平臺。

傳感器與自動檢測

本書主要介紹了檢測技術的基本知識，工業、生活等領域常用傳感器和一些新型傳感器的工作原理、基本結構和安裝使用，檢測系統的信號處理和抗干擾技術，傳感器的綜合應用、綜合實訓和綜合設計等。

·14.5萬字

Machine Learning with Scala Quick Start Guide

Scalaisahighlyscalableintegrationofobject-orientednatureandfunctionalprogrammingconceptsthatmakeiteasytobuildscalableandcomplexbigdataapplications.ThisbookisahandyguideformachinelearningdevelopersanddatascientistswhowanttodevelopandtraineffectivemachinelearningmodelsinScala.Thebookstartswithanintroductiontomachinelearning,whilecoveringdeeplearningandmachinelearningbasics.ItthenexplainshowtouseScala-basedMLlibrariestosolveclassificationandregressionproblemsusinglinearregression,generalizedlinearregression,logisticregression,supportvectormachine,andNa?veBayesalgorithms.Italsocoverstree-basedensembletechniquesforsolvingbothclassificationandregressionproblems.Movingahead,itcoversunsupervisedlearningtechniques,suchasdimensionalityreduction,clustering,andrecommendersystems.Finally,itprovidesabriefoverviewofdeeplearningusingareal-lifeexampleinScala.

Cassandra High Availability

IfyouareadeveloperorDevOpsengineerwhounderstandsthebasicsofCassandraandarereadytotakeyourknowledgetothenextlevel,thenthisbookisforyou.AnunderstandingoftheessentialsofCassandraisneeded.

Apache Hive Essentials

Ifyouareadataanalyst,developer,orsimplysomeonewhowantstoquicklygetstartedwithHivetoexploreandanalyzeBigDatainHadoop,thisisthebookforyou.SinceHiveisanSQL-likelanguage,somepreviousexperiencewithSQLwillbeusefultogetthemostoutofthisbook.