AI AN Annalise Sumpon · IBM Data Science in Practice Using watsonx.ai to Solve a Decision Optimization Problem for Telephone Production Learn how to solve a simple decision optimization problem with IBM watsonx.ai
AI PV Pvreddy · IBM Data Science in Practice Back propagation in Neural Networks When i started going through Neural Networks i thought that Back prop is some kind of magic, optimizing the parameters of the Neural…
TCH MKT MR Mrudula Madiraju · IBM Data Science in Practice Analytics Engine — Serverless Spark — The complete demo Short Video Demos — Run Spark workloads, Troubleshoot using Spark UI/ Spark History in combination with Logs
AI SOC HA Harishankar · IBM Data Science in Practice SQL’s Midlife Crisis: From Manual Laborer to AI-Assisted Maestro It was the summer of ’89.
TCH SPT HI Himadri Talukder · IBM Data Science in Practice Running Apache Spark Jobs on IBM watsonx.data Learn how to build, submit, monitor, and troubleshoot Spark applications using the watsonx.data Spark Engine with real world examples and…
AI AN Annalise Sumpon · IBM Data Science in Practice Layers on Layers — How You Can Improve Your Recommendation Systems Most recommendation systems fail for a simple reason: they expect a single score to do too much work.
AI HA Harishankar · IBM Data Science in Practice The Rise of AI Agents: Revolutionizing E-commerce Introduction