PinnedPublished inLow Code for Data ScienceThe AI Regulation Dilemma: Ethical Progress or Dystopian Future?Will we use AI responsibly to solve our biggest problems, or let it run wild and cause chaos?May 25, 2024May 25, 2024
Innovation Concepts and Techniques for Digital Transformation in Mid-Market FirmsIt’s never about the tech. It’s always about your mindset and culture.May 21May 21
Published inLow Code for Data ScienceLarge Language Models: Our Best Working Model of the Human Mind?What will AI teach us about us?Apr 5Apr 5
Published inLow Code for Data ScienceDistance Metrics in Machine LearningEuclidean, Manhattan, Minkowski, Cosine, Levenshtein and more — A walkthrough of the most widely used onesMar 2Mar 2
Published inLow Code for Data ScienceThe Paradox of Naive Bayes: When Simple Becomes SophisticatedA theoretical intro that shows how its theoretical elegance, practical efficiency and effectiveness continue to make it a valuable tool…Feb 9A response icon1Feb 9A response icon1
Published inLow Code for Data ScienceThe Complete Guide to Support Vector Machines: From Theory to PracticeHyperparameters, advantages, limitations, real-world applications and moreFeb 3Feb 3
Machine Learning for Auditors and Finance Teams: A Simple GuideWhy Machine Learning?Nov 7, 2024Nov 7, 2024
Reducing Bias in AI: How Compliance and Internal Audit Specialists Can Leverage FairlearnPhoto by Google DeepMind on UnsplashOct 15, 2024Oct 15, 2024
The Future of Internal Audit in the Age of AI: It’s Not About the Technology at All.This is behind a paywall. If you would like to read the article please click here.Jun 5, 2024Jun 5, 2024
Published inLow Code for Data ScienceEmbracing Digital Transformation: A Survival Guide for Mid-Market FirmsSuccess does not lie just in the adoption of new technologies, but in the ability to adapt, learn, and continuously improveApr 22, 2024Apr 22, 2024
