scholarly journals Predictably Unequal? The Effects of Machine Learning on Credit Markets

2021 ◽  
Author(s):  
ANDREAS FUSTER ◽  
PAUL GOLDSMITH‐PINKHAM ◽  
TARUN RAMADORAI ◽  
ANSGAR WALTHER
Keyword(s):  
Machine Learning ◽  
Credit Markets

The impact of machine learning and big data on credit markets

2021 ◽  
Author(s):  
Peter Eccles ◽  
Paul Grout ◽  
Paolo Siciliani ◽  
Anna Zalewska
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Credit Markets ◽  
The Impact

Predictably Unequal? The Effects of Machine Learning on Credit Markets

2017 ◽  
Author(s):  
Andreas Fuster ◽  
Paul Goldsmith-Pinkham ◽  
Tarun Ramadorai ◽  
Ansgar Walther
Keyword(s):  
Machine Learning ◽  
Credit Markets

Predictably Unequal? The Effects of Machine Learning on Credit Markets

2021 ◽  
Author(s):  
Tarun Ramadorai
Keyword(s):  
Machine Learning ◽  
Credit Markets

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Machine Learning for Speaker Recognition

2020 ◽  
Author(s):  
Man-Wai Mak ◽  
Jen-Tzung Chien
Keyword(s):  
Machine Learning ◽  
Speaker Recognition

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions

Understanding Machine Learning

2009 ◽  
Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  
Machine Learning
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