The dotData Enterprise machine learning and data science automation platform handles ... The Explorium technology portfolio also includes a powerful Auto ML engine for automated data discovery ...

His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. Professor Dietrich’s work has ...

Machine learning is becoming a core component of many modern organizational processes. It is a growing field at the intersection of computer science and statistics focused on finding patterns in data.

What skills will data scientists need to master in the year 2025? As the data science world progresses so will new ...

The Master of Science in Machine Learning and Data Science program at Northwestern University is housed within the Department of Industrial Engineering and Management Sciences, a top 5 department in ...

Data engineers are responsible for the management of data infrastructure, the delivery of large-scale data processing and the ...

The benchmark, called MLE-bench, challenges AI systems with 75 real-world data science competitions from Kaggle, a popular platform for machine learning contests. This benchmark emerges as tech ...

The Master of Science in Machine Learning and Data Science program is a full-time, on-campus program spanning five consecutive quarters, beginning in the fall quarter and ending in the subsequent fall ...

Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...