AI hype has researchers in fields from medicine to political science rushing to use techniques that they don’t always understand—causing a wave of spurious results.

Probabilistic Machine Learning: Advanced Topics. Contribute to probml/pml2-book development by creating an account on GitHub.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). – GitHub – jermwatt/machine_learning_refined: …

Medical device manufacturers are using these technologies to innovate their products to better assist health care providers and improve patient care.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they’re data dependent, with data varying wildly … – Selection from Designing Machine …

In most sports, especially football, most coaches and analysts search for key performance indicators using notational analysis. This method utilizes a statistical summary of events based on video footage and numerical records of goal scores. Unfortunately…

FinRL­-Meta: A Universe of Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. 🔥 – GitHub – AI4Finance-Foundation/FinRL-Meta: FinRL­-Meta: A Universe of Market Envi…

A machine-learning algorithm that includes a quantum circuit generates realistic handwritten digits and performs better than its classical counterpart.

Contribute to erum-data-idt/pd4ml development by creating an account on GitHub.