[PDF] EU guidelines on ethics in artificial intelligence: Context

INTRODUCTION MACHINE LEARNING - Stanford AI Lab

and psychologists study learning in animals and humans In this book we fo-cus on learning in machines There are several parallels between animal and machine learning Certainly, many techniques in machine learning derive from the e orts of psychologists to make more precise their theories of animal and human learning through computational models

The Discipline of Machine Learning

Similarly, Machine Learning will help reshape the field of Statistics, by bringing a computational perspective to the fore, and raising issues such as never-ending learning Of course both Computer Science and Statistics will also help shape Machine Learning as they progress and provide new ideas to change the way we view learning

Apprentissage automatique

The result of running the machine learning algorithm can be expressed as a function y(x) which takes a new digit image x as input and that generates an output vector y, encoded in the same way as the target vectors The precise form of the function y(x) is determined during the training phase, also known as the learning

EU guidelines on ethics in artificial intelligence: Context

machine-learning system to detect tax evasion and tax fraud In Belgium, the police are using a predictive algorithm to predict car robberies In Poland, this technology is used to profile unemployed peopleand decide upon the type of assistance appropriate for them

Layer-wise Relevance Propagation for Deep Neural Network

CS224d: TensorFlow Tutorial

Theano is another deep-learning library with python-wrapper (was inspiration for Tensorflow) Theano and TensorFlow are very similar systems TensorFlow has better support for distributed systems though, and has development funded by Google, while Theano is an academic project