Abstract—Machine learning (ML) cloud APIs enable develop- ers to easily incorporate learning solutions into software systems. Unfortunately, ML APIs are …
Links Category: Machine Learning
Machine learning in acoustics: Theory and applications
(Received 9 May 2019; revised 23 September 2019; accepted 14 October 2019; published online. 27 November 2019). Acoustic data provide scientific and …
Data Validation for Machine Learning – MLSys
ABSTRACT. Machine learning is a powerful tool for gleaning knowledge from massive amounts of data. While a great deal of machine learning research has …
Solon Barocas, Moritz Hardt, Arvind Narayanan – Fairness and …
This book gives a perspective on machine learning that treats fair- ness as a central concern rather than an afterthought. We’ll review.
1209.full.pdf – Science
Predicting and understanding how people make decisions has been a long-standing goal in many fields, with quantitative models of human decision-making …
Machine Learning and Cybersecurity – Center for Security and …
Established in January 2019, the Center for Security and. Emerging Technology (CSET) at Georgetown’s Walsh. School of Foreign Service is a research …
On Challenges in Machine Learning Model Management
The training, maintenance, deployment, monitoring, organization and documentation of machine learn- ing (ML) models – in short model management – is a …
An Introduction to Machine Learning in Quantitative Finance …
by H Ni — (1) Volume defines the size of data. In the past few years, the total amount of data has increased enormously. Both business processes and individ-.
Machine Learning module specification 2020-21
Teaching will comprise a combination of live and interactive activities (synchronous learning) as well as recorded or self-.
Machine Learning in Compilers: – Facebook Research
by C Cummins — Abstract—Writing optimising compilers is difficult. The range of programs that may be presented to the compiler is huge and the systems on which they run …