Some tasks a computer couldn't solve at all ten years ago are now solved on your smartphone without many problems, e.g. image recognition, language translation, playing go, cancer detection.
"New" machine learning techniques (also known as deep learning) appear to be very successful solving these tasks, yielding human or even superhuman performance.
In this talk, I will focus on some basics of machine learning and recent deep learning developments in image recognition.
Starting with basic concepts in machine learning, till more advanced methods such as object localization and image segmentation.
I assume some familiarity with linear algebra and elementary calculus.
Biography
Noud Aldenhoven has a master's degree in mathematics, and he obtained a Ph.D. in mathematical physics in 2015 at the Radboud University Nijmegen and Universidad de Cordoba Argentina.
After obtaining his Ph.D. he worked for two and half years as data scientist at Screenpoint Medical, a company that develops image analysis technology for automated reading of mammograms and digital breast tomosynthesis.
This year he starts working at minds.ai, artificial intelligence consultancy in deep learning.
By: Noud Aldenhoven