Prescriptive Analytics

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Introduction

001. Prescriptive Analytics Introduction

Lesson 1 Introduction to Prescriptive Analytics and Optimal Decision-Making

001. Topics

002. 1.1 Overview of Business Analytics and Data Science

003. 1.2 An Overview of the Human Decision-Making Process

004. 1.3 A Simple Timeline and Taxonomy for Business Analytics

005. 1.4 Analytics Success Story UPSs ORION Project

Lesson 2 Optimal Decision-Making with Linear Programming

001. Topics

002. 2.1 Introduction to Optimization and Linear Programming

003. 2.2 Linear Programming

004. 2.3 Graphic Solution for Linear Programming Problems

005. 2.4 Solving Optimization Problems in Excel with Solver Add-In

Lesson 3 Heuristic Optimization with EvolutionaryGenetic Algorithms

001. Topics

002. 3.1 Heuristic Programming

003. 3.2 Genetic Algorithms

004. 3.3 How Genetic Algorithms Work

005. 3.4 GA Application in Excel

Lesson 4 Simulation Modeling for Decision-Making

001. Topics

002. 4.1 Basics of Simulation Modeling

003. 4.2 Applications and Types of Simulation

004. 4.3 Simulation Development Process

005. 4.4 Monte-Carlo Simulation (with Excel)

006. 4.5 Process Simulation (with Simio)

Lesson 5 Multi-Criteria Decision-Making Methods

001. Topics

002. 5.1 MCDM and Types of Decisions

003. 5.2 Weighted Sum Model

004. 5.3 Analytic Hierarchy Process

005. 5.4 Analytic Network Process

006. 5.5 Fuzzy Logic for Imprecise Information and Reasoning

Lesson 6 Expert System-Based Decisioning Systems

001. Topics

002. 6.1 Expert System as Part of AI

003. 6.2 Overview and Application of ES

004. 6.3 Structure of an Expert System

005. 6.4 Case-based Reasoning Systems

Lesson 7 The Future of Prescriptive Analytics

001. Topics

002. 7.1 Big Data, Analytics, and the IoT Systems

003. 7.2 Deep Learning versus Shallow Learning

004. 7.3 Cognitive Computing and Searching

005. 7.4 Demonstration of Big Data Technologies on the Cloud

Summary

001. Prescriptive Analytics Summary

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تولید کننده: LiveLessons