Training machine learning models requires feeding input data for models to ingest. Input pipelines for machine learning jobs are often challenging to implement efficiently as they require reading large volumes of data, applying complex transformations, an... (more…)

We present an environment, benchmark, and deep learning driven automated theorem prover for higher-order logic. Higher-order interactive theorem provers enable the formalization of arbitrary mathematical theories and thereby present an interesting, open-e... (more…)

Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning. (more…)

Some time ago I started a journey into one of the most exciting fields in Computer Science — Machine Learning. This is my subjective guide… (more…)

Over the past decade, machine learning has grown to be quite the game-changer for different businesses and organizations. Thus, it is not... (more…)