There are massive amounts of textual data residing in databases, valuable for many machine learning (ML) tasks. Since ML techniques depend on numerical input representations, word embeddings are increasingly utilized to convert symbolic representations su... (more…)

The foundational courses cover machine learning fundamentals and core concepts. (more…)

My thoughts on the past year of progress in Robotics and Machine Learning. (more…)

New machine learning accelerators are being announced and released each month for a variety of applications from speech recognition, video object detection, assisted driving, and many data center applications. This paper updates the survey of of AI accele... (more…)

Thierry Moudiki's personal webpage, Data Science, Statistics, Machine Learning, Deep Learning, Simulation, Optimization. (more…)