Rethinking ML Development - A Data-Centric Approach - JIMMY WHITAKER

Learn the latest advancements Data Science – all from the comfort of your home office: Join us for an insightful talk by Jimmy Whitaker on rethinking Machine Learning Development with a Data-Centric Approach. Jimmy is an expert in Machine Learning and Natural Language Processing (NLP) with experience in speech recognition and applied research. In this talk, he will share his valuable insights on how to develop Machine Learning models effectively using a data-centric approach. With a Masters from the University of Oxford, Danushka is a sought-after speaker, and you won’t want to miss this opportunity to learn from one of the best in the field! Subscribe to our Channel Today: Key Topics: 0:00 - Introductions 0:45 - Agenda 1:42 - AI Today 4:45 - What is Data-Centric AI? 6:00 - The Move to Data-Centric AI 11:05 - Set Yourself up for Iteration 17:05 - Great Tools Help Make Great Products 22:15 - Make it easy to write, test, run, and reproduce your analytics 27:20 - Solve one problem at a time 28:05 - Quality is everyone’s problem, especially with data 29:28 - Recap Playlists: Learning About Machine and Deep Learning: Getting Started with Data Engineering and MLOps: Natural Language Processing and its Uses: Related Blogs: How to Use Machine Learning for Algorithmic Trading: 10 Methods for Better Machine Learning at ODSC East 2023: MIT’s New Technique Empowers Machine Learning Models to Address Confidence in Predictions: Responsible AI: Interpret-Text: Leveraging Time-Series Segmentation and Machine Learning for Better Forecasting Accuracy: State of Machine Learning Survey Results Part One: Follow ODSC on: LinkedIn: Twitter: Facebook: