Konrad HoppeinAI insights by querifaiLarge Language Models in WorkshopsElevate your workshop pinboard visuals into actionable insights with AI services on querifai.Apr 15Apr 15
Konrad HoppeinAI insights by querifaiHands-on-Tech: Choosing a Vector Database for querifai’s Retrieval Augmented Generation AppExplore vector database options for RAG applications, highlighting MongoDB and Pinecone’s functionalities, pricing, and real-world…Dec 22, 2023Dec 22, 2023
Konrad HoppeinAI insights by querifaiDigitizing Receipts: For Simplified Business Expense Tracking With querifai.aiUsing querifai.ai’s text extraction APIs, easily convert your paper receipts and bills into digital format. This will save you time, reduce…Dec 12, 2023Dec 12, 2023
Konrad HoppeinAI insights by querifaiBrand Detection: Event sponsorship Analysis with querifaiExplore the influence of event sponsorships through Brand Recognition AI and identify brand logos in social media posts.Dec 6, 2023Dec 6, 2023
Konrad HoppeUse R for prototyping a productivity appBuilding OCR tools with the R-languageJan 14, 2022Jan 14, 2022
Konrad HoppeFinger exercises on data – Multicollinearity and factor analysisHow does multicollinearity affect a toy model under laboratory circumstances and what can be done about itSep 10, 2021Sep 10, 2021
Konrad HoppeinTowards Data ScienceForecasting at scale with Facebook Prophet — a case study on its merits & limitationsDomain knowledge remains an important factor in machine learning applicationsApr 30, 2021Apr 30, 2021
Konrad HoppeinNerd For TechSample size and time series models — A case study on ARIMA() processes.Understand the data generating process behind simple MA(1) models and weakness of the estimators at small sample sizes — A case study in RApr 24, 2021Apr 24, 2021
