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Binary Logistic Regression in R

Learn when and how to use a (univariate and multivariate) binary logistic regression in R. Learn also how to interpret, visualize and… Continue reading on Towards Data Science »

The Generative AI Advantage: Product Strategies to Differentiate

Navigating the Changing Product Landscape: From Flashy Demos to Trustworthy AI Solutions that Win Customer Trust. For decades, product builders long accepted a seemingly unbreakable rule: as the capabilities of a product increase, so does its complexity. For users, this has

RAG Efficiency, Self-Learning Secrets, and the Business of AI (and Other January Must-Reads)

RAG Efficiency, Self-Learning Tips, the Business of AI, and Other January Must-Reads By now we may have moved on from “Happy new year!” territory, but January’s jolt of energy and activity is still very much with us. We see it

How to Implement a Custom Training Solution Based on Amazon EC2

A Simple Solution for Managing Cloud-Based ML-Training — Part 2 Photo by Vlad D on Unsplash This is a sequel to a recent post on the topic of building custom, cloud-based solutions for machine learning (ML) model development using low-level instance provisioning services. Our

How to Handle Time Series Missing Data

What causes missing values, and how to deal with them, using Python Continue reading on Towards Data Science »

Neural Networks Illustrated, Part 1: How Does a Neural Network Work?

If you have read my previous articles, you’ll know what’s coming next. In this part of the internet, we take complex-sounding concepts and… Continue reading on Towards Data Science »