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1336Publicado 2018Tabla de Contenidos: “…Marketing Analytics -- Introduction -- RFM Analysis -- Response Modeling -- Churn Prediction -- X-selling -- Customer Segmentation -- Customer Lifetime Value -- Customer Journey -- Recommender Systems -- Fraud Analytics -- Credit Risk Analytics -- HR Analytics -- Conclusion -- Review Questions -- Multiple Choice Questions -- Open Questions -- Note -- References -- Chapter 4: Uplift Modeling -- Introduction -- The Case for Uplift Modeling: Response Modeling -- Effects of a Treatment -- Experimental Design, Data Collection, and Data Preprocessing -- Experimental Design -- Campaign Measurement of Model Effectiveness -- Uplift Modeling Methods -- Two-Model Approach -- Regression-Based Approaches -- Tree-Based Approaches -- Ensembles -- Continuous or Ordered Outcomes -- Evaluation of Uplift Models -- Visual Evaluation Approaches -- Performance Metrics -- Practical Guidelines -- Two-Step Approach for Developing Uplift Models -- Implementations and Software -- Conclusion -- Review Questions -- Multiple Choice Questions -- Open Questions -- Note -- References -- Chapter 5: Profit-Driven Analytical Techniques -- Introduction -- Profit-Driven Predictive Analytics -- The Case for Profit-Driven Predictive Analytics -- Cost Matrix -- Cost-Sensitive Decision Making with Cost-Insensitive Classification Models -- Cost-Sensitive Classification Framework -- Cost-Sensitive Classification -- Pre-Training Methods -- During-Training Methods -- Post-Training Methods -- Evaluation of Cost-Sensitive Classification Models -- Imbalanced Class Distribution -- Implementations -- Cost-Sensitive Regression -- The Case for Profit-Driven Regression -- Cost-Sensitive Learning for Regression -- During Training Methods -- Post-Training Methods -- Profit-Driven Descriptive Analytics -- Profit-Driven Segmentation -- Profit-Driven Association Rules -- Conclusion -- Review Questions…”
Libro electrónico -
1337Publicado 2024Tabla de Contenidos:Libro electrónico
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1340Publicado 2023Tabla de Contenidos: “…Chapter 4 Understanding GPT Models in ChatGPT -- Summarizing Model Progress -- Comparing GPT-4 to Earlier ChatGPT Models -- Choosing ChatGPT Models -- Learning about GPT-4 Advancements -- Adjusting to GPT-4's Limitations -- Chapter 5 Warnings, Ethics, and Responsible AI -- Making Responsible AI -- Troubling developments -- Protecting humans from humans using AI -- Understanding the good, the bad, and the ugly -- Heeding OpenAI Warnings -- Considering Copyright and IP Protections -- Searching for Predictability -- Reaching for reliability -- Hallucinating versus accuracy -- Humanizing the machine -- Mitigating Risks and Liability -- Chapter 6 Probing Professional and Other Uses for ChatGPT -- Finding ChatGPT Embedded in Software -- Locating ChatGPT in business software -- Integrating with everything, everywhere, all at once -- Zooming in on ChatGPT in virtual meetings -- Letting ChatGPT summarize and translate -- Searching for ChatGPT in other applications -- Seeing ChatGPT in AR, VR, and the Metaverse -- Discovering ChatGPT in search engines -- Coding with ChatGPT and Copilot X -- Learning Where to Use ChatGPT for Marketing -- Retrieving Smart Answers for HR -- Harnessing ChatGPT in Legal -- Storytelling in Journalism -- Consulting ChatGPT in Healthcare -- Cashing In on ChatGPT in Finance -- Chapter 7 Working with ChatGPT in Education -- Flipping Critical Thinking to a New Learning Model -- Leveraging ChatGPT to Aid Overworked Educators -- Changing How Subjects Are Taught -- Banning ChatGPT Stifles Education -- Chapter 8 Using ChatGPT in Daily Life -- Dying Keywords -- Moving from Information Search to Knowledge Assistants -- Living with Misinformation and Manipulation -- Narrowing Options -- Chapter 9 Recognizing the Ways ChatGPT and Generative AI Will Change the World -- Understanding What Is and Isn't of Real Concern…”
Libro electrónico
