Deep learning (DL) has proven to be a highly effective approach for developing models in
diverse contexts, including visual perception, speech recognition, and machine translation …

We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta
reinforcement learning using sequence models with self play. AlphaD3M is based on edit …

The Science of Deep Learning emerged from courses taught by the author that have
provided thousands of students with training and experience for their academic studies, and …

Recent years have seen a proliferation of ML frameworks. Such systems make ML
accessible to non-experts, especially when combined with powerful parameter tuning and …

Automatic Machine Learning (AutoML) is an area of research aimed at automating Machine
Learning (ML) activities that currently require the involvement of human experts. One of the …

Over the last decade, the long-running endeavour to automate high-level processes in
machine learning (ML) has risen to mainstream prominence, stimulated by advances in …

Automatic machine learning is an important problem in the forefront of machine learning.
The strongest AutoML systems are based on neural networks, evolutionary algorithms, and …

The design of instruments that rely on the interaction of radiation with matter for their
operation is a quite complex task if our goal is to achieve near optimality on some well …

Emerging Artificial Intelligence (AI) systems are revolutionizing computing and data
processing approaches with their strong impact on society. Data is processed with …

While deep neural networks (DNNs) have shown to be successful in several domains like
computer vision, non-DNN models such as linear models and gradient boosting trees are …