Browsing: AI & Machine Learning

Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods…

Passing a message along for my colleague Waheed Bajwa: As the US Liaison Chair of IEEE SPAWC 2019, I have…

Personal branding is a thing now. It always has been, but I believe it’s been getting more and more attention…

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise…

November 11London, UKColocated with CCS 2019 Differential privacy is a promising approach to privacy-preserving data analysis.  Differential privacy provides strong…

In the last couple of years deep learning (DL) has become a main enabler for applications in many domains such…

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics…

Reviewing has started for NeurIPS 2019 and this time around I am an area chair (AC). We’ve been given a…

Some of the problems we tackle using machine learning involve categorical features that represent real world objects, such as words,…

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater…