Abstract: Optimizing machine learning (ML) model performance relies heavily on appropriate data preprocessing techniques. Despite the widespread use of standardization and normalization, empirical ...

Preparing data for use in a machine learning (ML) system is time consuming ... the sample standard deviation which divides by n-1. Either form of standard deviation works for z-score normalization. A ...

There are a number of ways to normalize and standardize data for machine learning, including min-max normalization, mean normalization, standardization, and scaling to unit length. This process is ...

Head of sales intelligence and data at Snapchat. Data-driven decision-making has seen a skyrocketing demand in today's world of AI and machine learning (ML) across the industry. These technologies ...

NEW YORK--(BUSINESS WIRE)--Iguazio, the Data Science Platform for automating machine learning pipelines, today announced MLOps NYC19, a community-organized conference taking place September 24th ...