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Download Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing

COPY LINK : https://fastpdf.bookcenterapp.com/yump/0692142606 P.D.F Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations F.R.E.E Book synopsis : Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require prog

COPY LINK : https://fastpdf.bookcenterapp.com/yump/0692142606

P.D.F Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations F.R.E.E

Book synopsis :
Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require prog

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Introduction to Algorithmic Marketing: Artificial Intelligence

for Marketing Operations

Description :

Introduction to Algorithmic Marketing is a comprehensive guide to

advanced marketing automation for marketing strategists, data


scientists, product managers, and software engineers. It

summarizes various techniques tested by major technology,

advertising, and retail companies, and it glues these methods

together with economic theory and machine learning. The book

covers the main areas of marketing that require programmatic

micro-decisioning - targeted promotions and advertisements,

eCommerce search, recommendations, pricing, and assortment

optimization.Table of ContentsChapter 1 - IntroductionThe Subject

of Algorithmic MarketingThe Definition of Algorithmic

MarketingHistorical Backgrounds and ContextProgrammatic

ServicesWho Should Read This Book?SummaryChapter 2 - Review of

Predictive ModelingDescriptive, Predictive, and Prescriptive

AnalyticsEconomic OptimizationMachine LearningSupervised

LearningRepresentation LearningMore Specialized

ModelsSummaryChapter 3 - Promotions and

AdvertisementsEnvironmentBusiness ObjectivesTargeting

PipelineResponse Modeling and MeasurementBuilding Blocks:

Targeting and LTV ModelsDesigning and Running

CampaignsResource AllocationOnline AdvertisementsMeasuring the

EffectivenessArchitecture of Targeting SystemsSummaryChapter 4 -

SearchEnvironmentBusiness ObjectivesBuilding Blocks: Matching

and RankingMixing Relevance SignalsSemantic AnalysisSearch

Methods for MerchandisingRelevance TuningArchitecture of

Merchandising Search ServicesSummaryChapter 5 -

RecommendationsEnvironmentBusiness ObjectivesQuality

EvaluationOverview of Recommendation MethodsContent-based

FilteringIntroduction to Collaborative FilteringNeighborhood-based

Collaborative FilteringModel-based Collaborative FilteringHybrid

MethodsContextual RecommendationsNon-Personalized

RecommendationsMultiple Objective OptimizationArchitecture of

Recommender SystemsSummaryChapter 6 - Pricing and

AssortmentEnvironmentThe Impact of PricingPrice and ValuePrice

and DemandBasic Price StructuresDemand PredictionPrice

OptimizationResource AllocationAssortment OptimizationArchitecture

of Price Management SystemsSummary

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