Frankfurt-based Quoniam, which has more than $30 billion in assets under management, is using machine learning to forecast returns where there are non-linear relationships between stock ...

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

In recent years, there has been increasing adoption in oncology of more complex machine learning (ML) models, such as support vector machines, tree-based models, and neural networks. 5, 6 ML-based ...

When using AI, such tasks are based on "classification technology" in machine learning -- having the computer learn using the boundary separating positive and negative data.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...