Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...

Government agencies are awash in documents. Many of these documents are paper-based, but even for the electronic documents a human is still often needed to process and understand those documents to ...

ACM, the Association for Computing machinery, and IMS, the Institute of Mathematical Statistics, have announced the publication of the first issues of the ACM/IMS Journal of Data Science (JDS), a new ...

Engineers who’ve calculated whether or not their results are “statistically significant” have probably drawn the wrong conclusions about their work. In fact, problems with misapplied classical ...

Zachary Spaulding and Yupeng Li, both math majors, work together as they talk about mathematics in the undergraduate math lounge. (Gregory Urquiaga/UC Davis) From presidential campaigns to pandemic ...

Efficient Training of Infinite-depth Neural Networks via Jacobian-free Backpropagation A promising trend in deep learning replaces fixed depth models by approximations of the limit as network depth ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...