I recently ran across a blog post that discusses a very important characteristic for machine learning solutions – Generalization. If you’ve ever wondered about the primary reason why machines can ...

The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data. Instead, a new study suggests, it might come down ...

As a data scientist, I have a handful of books that serve as important resources for my work in the field – “Statistical Learning with Sparsity – The Lasso and Generalizations” by Trevor Hastie, ...

There are three key factors for the success of machine learning applications; that is, algorithm, data, and computational resource. Prof. Zhi-Hua Zhou of Nanjing University disclosed that, classical ...

In fields such as biotechnology, medicine, pharmaceutical, health care, and life sciences, the need to ensure human health and safety is of the highest priority when deploying artificial intelligence ...

In fields such as biotechnology, medicine, pharmaceutical, health care, and life sciences, the need to ensure human health and safety is of the highest priority when deploying artificial intelligence ...

Overfitting in ML is when a model learns training data too well, failing on new data. Investors should avoid overfitting as it mirrors risks of betting on past stock performances. Techniques like ...