Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Li, S. and Tan, Q. (2025) Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP ...

Objectives This study aimed to compare the performance of five machine learning algorithms ... learn non-linear decision surfaces and perform well in the presence of multiple predictors. Compared with ...

Topics will include: concentration inequalities, covariance estimation, principal component analysis, penalized linear regression ... be applied to new problems. This course covers the core concepts, ...

Although film and television are often seen as creative and open-ended industries, they have long been risk-averse. High ...

Mathematicians love the certainty of proofs. This is how they verify that their intuition matches observable truth.

Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the first programmable chip capable of training nonlinear neural networks using ...

The course introduces a variety of central algorithms and methods essential for studies ... if you sit the exam for one of the following courses: FYS-STK3155 – Applied Data Analysis and Machine ...

Participants will learn how to apply various machine learning algorithms to solve real-world problems. 09:00 - 10:30: Decision Trees and Random Forests 10:45 - 12:15: Support Vector Machines 13:30 - ...