AI & ML

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  AI, Machine Learning, and GenAI – What’s the Difference? Before diving into exploratory data analysis (EDA), it’s important to understand the broader AI landscape and where  Machine Learning (ML) and Generative AI (GenAI)  fit into financial risk modeling. Here is a brief run-down: What is Artificial Intelligence (AI)? AI refers to any system that can perform tasks requiring human intelligence, such as recognizing patterns, making decisions, or processing language. It is a broad category that includes both traditional rule-based systems and Machine Learning (ML) models that improve based on data.   What is Machine Learning (ML)? Machine learning is a subset of AI that learns from historical data to predict future outcomes. In financial services, ML models are used for credit scoring, fraud detection, and risk assessment. Example:  A logistic regression model trained on customer repayment history to predict the likelihood of delinquency.   What is Generati...

  ChatGPT You said: AI enabled softwares ChatGPT said: Here’s a clear, organized list of  AI-enabled software  across different categories. If you want, I can also filter them by purpose (e.g., for coding, design, business, education, automation, etc.). 1. AI for Productivity & Office Work Microsoft Copilot  – AI assistant built into Word, Excel, PowerPoint, Outlook. Google Workspace AI (Gemini)  – AI support in Docs, Sheets, Gmail, Slides. Notion AI  – Content creation, task automation, document writing. Grammarly AI  – Writing assistance, grammar improvement, tone adjustment. 2. AI for Programming & Development GitHub Copilot  – Code generation, debugging, auto-completion. Codeium  – Free AI coding assistant for multiple IDEs. Replit AI  – Code generation + app deployment automation. AWS CodeWhisperer  – AI coding assistant for cloud developers. 3. AI for Data Analytics Tableau AI  – Automated insights, forecasting, e...

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