Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.

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 recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Deep learning and natural language processing with Excel. Learn Data Mining Through Excel shows that Excel can even express advanced machine learning algorithms. There’s a chapter that delves ...

1. Define Your Algorithm Goal. Defining a proper measurable goal is key to the success of any project. In the world of machine learning, there is a saying that highlights very well the critical ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

The Data Science Lab. How to Create a Machine Learning Decision Tree Classifier Using C#. After earlier explaining how to compute disorder and split data in his exploration of machine learning ...