The first part of the article focuses on A/B testing, and the second part dives into utilizing machine learning techniques.
Category - Machine Learning
AIAW Podcast Episode 084 – Bob Sturm and Rujing Huang
Episode Description In this episode of the weekly AI After Work (AIAW) Podcast, we have the pleasure to welcome Bob Sturm, Associate Professor at KTH Royal Institute of Technology, and Rujing Stacy Huang, Musicologist...
AIAW Podcast Episode 083 – Marcus Liwicki
Episode Description In this episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome Marcus Liwicki, Professor and Head of Subject, Deputy Vice-Chancellor for applied AI...
Building a DS/ML capability that scales for Enterprises – Dael Williamson, Databricks
Session Outline Databricks have created, contributed toward, fostered the growth of, and donated some of the most impactful innovations in modern open source technology. Open data lakehouses are quickly becoming the...
NDSML Summit 2022: Recap
The 6th edition of the NDSML Summit proved the interest among professionals and organizations in human-centred data and AI innovation.
NDSML Summit 2022: Officially Opened
The 6th hybrid edition of the NDSML Summit is officially opened. It has many new features, and the ones of the first day are recapped in this article.
NDSML Summit 2022: What You Can’t Afford to Miss!
What are the things you can’t afford to miss from the 6th edition of the NDSML Summit? The topic of this 2022 edition, is “Towards Human-Centered Data & AI Innovation”, and all attendees will...
The Impact of MLOps on Business Transformation
MLOps provide increased automation, increase the quality of the production model and help organisations focus on governance, eliminating the creation of new processes every time a model is developed.