Let’s talk about self-supervised machine learning – a way to teach a model a lot without manual markup, as well as an opportunity to avoid deep learning when setting a model up to solve a problem.

Abstract Many organizations today are looking for ways to run Machine Learning (ML) models in operational systems at scale. Data Scientists can now take models that they build in SageMaker and deploy them as user-defined functions within our general purpo…

This article dives deeper into how Light-it hunts for potential customers on Twitter and LinkedIn using Machine Learning…

Machine Learning is thought of as one of the most challenging fields of programming, so how did a 17-year-old high school student end up…

In machine learning, we typically work with input pairs (x, y), and we try to figure out how x and y depend on each other.To do so, we gather many such pairs…

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These con…

Machine learning has come a long way in recent years, and its accuracy has improved dramatically, leading to widespread use. This article examines how ML models can be attacked and fooled, and what you can do to safeguard them.

Keynote Talk for Why R? 2020 – https://2020.whyr.pl/Plan https://2020.whyr.pl/plan/ Register https://2020.whyr.pl/register/Frank is a professor and a foundin…

Journal of Medical Internet Research – International Scientific Journal for Medical Research, Information and Communication on the Internet…