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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(shù)字媒體交互設(shè)計原理與方法

《數(shù)字媒體交互設(shè)計原理與方法》通過豐富的案例，系統(tǒng)地講解了數(shù)字媒體交互設(shè)計的基本原理和方法。本書共7章，主要講解了數(shù)字媒體交互設(shè)計的基礎(chǔ)知識、用戶體驗、用戶研究方法，以及設(shè)計流程、設(shè)計工具和設(shè)計法則，由淺入深地帶領(lǐng)讀者逐步加深對數(shù)字媒體交互設(shè)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(yè)，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(nèi)容豐富，結(jié)構(gòu)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(shù)字媒體交互設(shè)計“1+X”職業(yè)技能等級證書的教材，也可作為各院校及培訓機構(gòu)相關(guān)專業(yè)的輔導(dǎo)書，還可作為數(shù)字媒體交互設(shè)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(shù)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(dǎo)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(yīng)用，最后利用綜合短片讓學生自由發(fā)揮，更好的掌握AVID軟件的使用。

ABB工業(yè)機器人虛擬仿真教程

隨著工業(yè)機器人應(yīng)用水平的不斷提升，越來越多的生產(chǎn)企業(yè)加入應(yīng)用工業(yè)機器人的隊列。這就使得調(diào)試工業(yè)機器人的工程技術(shù)人員數(shù)量不斷攀升，在調(diào)試過程中暴露出的問題也在不斷增加。本書根據(jù)大量對仿真的實際需求，以ABB公司的工業(yè)機器人仿真軟件RobotStudio為基礎(chǔ)，詳細講述ABB工業(yè)機器人仿真軟件從基礎(chǔ)仿真到高級Smart組件的實際應(yīng)用，內(nèi)容分為基礎(chǔ)篇和進階篇：基礎(chǔ)篇包括6個章節(jié)，詳細講述什么是工業(yè)機器人仿真、創(chuàng)建工業(yè)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(yè)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(nèi)容循序漸進，是初學者必備的入門基礎(chǔ)知識；進階篇包括4個實戰(zhàn)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(tài)仿真的操作步驟，內(nèi)容深入淺出，結(jié)合案例，幫助讀者加強實戰(zhàn)能力。本書內(nèi)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(shù)人員學習、參考。

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.

漢字錄入技能訓練

本書是思遞波(Certiport)認證系列——TypingCredential計算機速記師國際認證的配套教材。內(nèi)容包括：五筆、二筆、搜狗等主流輸入法的介紹與教學、中文輸入綜合練習、中文看打輸入練習與測驗試題、中文聽打練習流程介紹與教學、ypingCredential計算機速記師國際認證簡介。

工業(yè)機器人操作

工業(yè)機器人作為一種高科技集成裝備，對專業(yè)人才有著多層次的需求。本書根據(jù)機器人行業(yè)發(fā)展趨勢，從生產(chǎn)實際出發(fā)，詳細講解了工業(yè)機器人的應(yīng)用基礎(chǔ)、ABB工業(yè)機器人的操作、工業(yè)機器人的調(diào)整與保養(yǎng)等內(nèi)容。本書實用性與可參考性強，可為從事工業(yè)機器人編程、操作、維護相關(guān)工作的工程技術(shù)人員提供幫助，也可供高等院校機電專業(yè)、機器人專業(yè)的師生學習參考。

無線傳感器網(wǎng)絡(luò)節(jié)能、優(yōu)化與可生存性

本書著眼于無線網(wǎng)絡(luò)在節(jié)能、優(yōu)化和生存性中存在的實際問題，提出各種解決這些問題的針對性的模型，對所提出的模型進行分析，和仿真。主要內(nèi)容包括：在節(jié)能方面，研究基于Supermodular博弈的無線網(wǎng)絡(luò)功率控制的問題等。在優(yōu)化方面，研究分簇式無線傳感器網(wǎng)絡(luò)中基于演化博弈的數(shù)據(jù)傳輸控制問題；研究無線傳感器網(wǎng)絡(luò)的性能提高。在生存性研究方面，進行基于演化博弈的無線傳感器網(wǎng)絡(luò)節(jié)點策略分析；進行基于馬爾可夫鏈的無線傳感器網(wǎng)絡(luò)安全性分析；進行基于李雅普諾夫的無線傳感器網(wǎng)絡(luò)穩(wěn)定性分析。

名家傳道：數(shù)碼攝影后期處理秘笈

對于數(shù)碼攝影來說，在按下快門的那一瞬間，一張照片的誕生還并沒有完成，還需要通過數(shù)碼照片處理軟件對照片進行處理，才能讓一張照片完美呈現(xiàn)。本書針對攝影愛好者的需求，介紹了調(diào)整照片的方法，以及各種常見的照片調(diào)整技巧進行了相機的步驟介紹。大量攝影后期處理技法，足夠解決你在照片處理時遇到的各種問題。本書圖片精美，文字通俗，技法實用，非常適合攝影的初學者使用。

一本書玩轉(zhuǎn)數(shù)據(jù)分析（雙色圖解版）

本書是一本數(shù)據(jù)分析寶典，精講了數(shù)據(jù)分析的各種方法，如七何分析法、演繹樹分析法、金字塔原理、4P營銷理論、SWOT分析法、比較分析法、平均分析法、回歸分析法、檢驗分析法等，幫助讀者快速從新手成為數(shù)據(jù)分析高手！本書通過3大數(shù)據(jù)分析工具+7大分析步驟+13大整理數(shù)據(jù)的方法+17大美化圖表法+20大數(shù)據(jù)分析法+70多個實用案例+100多個專家知識補充+100多個數(shù)據(jù)分析圖解+450多張精美圖片，深度剖析數(shù)據(jù)分析的精華之處。讓您一書在手，即可徹底讀懂數(shù)據(jù)分析，從菜鳥成為達人！本書共分為10章，具體內(nèi)容包括走進數(shù)據(jù)分析的世界、落實數(shù)據(jù)分析操作、掌握數(shù)據(jù)整理的方法、掌握數(shù)據(jù)分析秘訣、使用回歸+歷史引申、需要方差+“顯著”、數(shù)據(jù)也要美美的、數(shù)據(jù)分析函數(shù)學習、與同行之間的角逐、淘寶指數(shù)+百度指數(shù)+好搜指數(shù)。本書結(jié)構(gòu)清晰、語言簡潔、圖解豐富，適合4類人群：一是初學數(shù)據(jù)分析的新手，二是從事數(shù)據(jù)相關(guān)行業(yè)的個人與公司，三是有意學習數(shù)據(jù)分析的白領(lǐng)階層、工薪階層、學生等，四是希望通過數(shù)據(jù)分析“挖金”的個體老板、企業(yè)高管、政府媒體、網(wǎng)絡(luò)數(shù)據(jù)分析師等人群。

Deep Learning Essentials

Aspiringdatascientistsandmachinelearningexpertswhohavelimitedornoexposuretodeeplearningwillfindthisbooktobeveryuseful.Ifyouarelookingforaresourcethatgetsyouupandrunningwiththefundamentalsofdeeplearningandneuralnetworks,thisbookisforyou.AsthemodelsinthebookaretrainedusingthepopularPython-basedlibrariessuchasTensorflowandKeras,itwouldbeusefultohavesoundprogrammingknowledgeofPython.

SolarWinds Orion Network Performance Monitor

ThisbookiswritteninafriendlymannerwrittenbyanexpertwithnumerousyearsofpracticalexperienceutilizingSolarWindsOrionNPMasanetworkmonitoringsolution.Thisbookisforsystemsadministrators,systemanalysts,andsystemsengineerswhoaretaskedwithinstallingandimplementinganetworkperformancemonitor.Knowledgeofbasicnetworkconceptsisrequired.

OpenStack for Architects

OpenStackforArchitectsisforCloudarchitectswhoareresponsibletodesignandimplementaprivatecloudwithOpenStack.Systemengineersandenterprisearchitectswillalsofindthisbookuseful.BasicunderstandingofcoreOpenStackservices,aswellassomeworkingexperienceofconcepts,isrecommended.

Cloud Security Automation

ThisbookistargetedatDevOpsEngineers,Securityprofessionals,oranystakeholdersresponsibleforsecuringcloudworkloads.PriorexperiencewithAWSorOpenStackwillbeanadvantage.