AI

How to use Conformalized Quantile Regression Jonte Dancker · Follow Published in Towards Data Science · 5 min read · 1 hour ago — We must know how sure our model is about its predictions to make well-informed decisions. Hence, returning only a point prediction is not enough. It does not tell us anything about whether we can trust our model or not. If you want to know why, check out my article below. Uncertainty

Linear algebra is the backbone of AI. Matrix multiplication is the fundamental operation of linear algebra. What if there is a whole chain? Rohit Pandey · Follow Published in Towards Data Science · 23 min read · 1 hour ago — Image created with midjourney This is the fourth chapter of the in-progress book on linear algebra. The table of contents so far: Chapter-1: The basics Chapter-2: The measure of a map — determinants Chapter-3:

Is Tit-for-tat the best strategy in the Iterated Prisoner’s Dilemma game? Saankhya Mondal · Follow Published in Towards Data Science · 5 min read · 1 hour ago — This article will explore how Game Theory illustrates the popular saying, “You are the average of the five people you spend the most time with.” Through examples from the Iterated Prisoner’s Dilemma game, we can see how individual behavior and outcomes are shaped by the surrounding

Uncovering a simple yet powerful, award-winning machine learning algorithm Gurjinder Kaur · Follow Published in Towards Data Science · 9 min read · 3 hours ago — Photo by Kevin Bowler on Unsplash In this article, we will learn about gradient boosting, a machine learning algorithm that lays the foundation of popular frameworks like XGBoost and LightGBM which are award-winning solutions for several machine learning competitions. This is a great article for anyone thinking about

Discover how you can save hours, eliminate costly data errors, and free up your team to focus on insights that drive real business growth. Hattie Biddlecombe · Follow Published in Towards Data Science · 6 min read · 8 hours ago — Disclaimer: I am not affiliated with any of the tools mentioned in this blog; I’m sharing them because I’ve found them to be highly effective for the tasks at hand. Recently, I collaborated

Balancing automation, accuracy, and customer experience in an ever-evolving adversarial landscape Samuel Flender · Follow Published in Towards Data Science · 8 min read · 1 hour ago — (image generated by the author using ChatGPT) Fraud detection is a cornerstone of modern e-commerce, yet it is also one of the least publicized domains in Machine Learning. That’s for a good reason: it’s an adversarial domain, where fraudsters constantly invent new ways to bypass existing

Sarah Lea · Follow Published in Towards Data Science · 10 min read · 10 hours ago — When I was preparing for the Salesforce Data Cloud certification, I came across the term Zero-ETL. The Data Cloud offers the possibility to access data directly from other systems such as data warehouses or data lakes or sharing data with these systems without the data being copied. Salesforce describes this also as Bring Your Own Lake (BYOL),

Learning to transform categorical data into a format that a machine learning model can understand Vyacheslav Efimov · Follow Published in Towards Data Science · 6 min read · 4 hours ago — Introduction When studying machine learning, it is essential to understand the inner workings of the most basic algorithms. Doing so helps in understanding how algorithms operate in popular libraries and frameworks, how to debug them, choose better hyperparameters more easily, and determine

Learn how to optimize model hyperparameters and even the architecture in a few lines of code Dr. Robert Kübler · Follow Published in Towards Data Science · 9 min read · 7 hours ago — Photo by Johnny on Unsplash In my previous article, we explored the basics of time series forecasting with sktime, looking at how to leverage this powerful library for straightforward forecasting tasks. Now, it’s time to take our journey further and

Andrea Rosales · Follow Published in Towards Data Science · 8 min read · 4 days ago — Image created using Canva AI Image Generator I recently had the chance to join the OxML 2024 program, which brings together people working in machine learning to discuss the latest advancements in AI. During the event, I listened to an inspiring talk by Reza Khorshidi, a machine learning researcher at Oxford and the Chief Product & AI