Alexander (Sasha) Apartsin, Ph.D. works on applied machine learning and cyber-physical systems, with a focus on turning noisy real-world measurements into reliable inference. He is the author of the Hands-On AI Science series.
Yehudit Aperstein, Ph.D. works on machine learning, signal analysis, and applied data science, and teaches and supervises research in these areas.
Together they write the Hands-On AI Science series, a set of ten in-depth, build-it-yourself guides to the major fields of artificial intelligence. See About the Series.