Episode 7: ML 007: Computer Vision & AI Scientist with Beril Sirmacek

<p>Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it.</p> <h3><strong>Sponsors</strong></h3> <ul> <li><a href="https://devchat.tv/learnML">Machine Learning for Software Engineers by Educative.io</a></li> <li><a href="http://www.audibletrack.com/click.track?CID=102175&amp;AFID=475401&amp;ADID=454213&amp;SID=%27%3E">Audible.com</a></li> <li><a href="https://www.cachefly.com/">CacheFly</a></li> </ul> <h3><strong>Panel</strong></h3> <ul> <li>Charles Max Wood</li> <li>Gant Laborde</li> </ul> <h3><strong>Guest</strong></h3> <ul> <li>Beril Sirmacek</li> </ul> <h3><strong>Links</strong></h3> <ul> <li><a href="https://www.youtube.com/user/DrSirmacek/videos">https://www.youtube.com/user/DrSirmacek/videos</a></li> <li><a href="http://www.berilsirmacek.com/">http://www.berilsirmacek.com/</a></li> <li><a href="https://arxiv.org/abs/1910.13348">Sequential image processing methods for improving semantic video segmentation algorithms</a></li> <li><a href="https://youtu.be/rkyD56ln8ME">DEEPLAB vs YOLO</a></li> <li><a href="https://towardsdatascience.com/understanding-model-predictions-with-lime-a582fdff3a3b">Understanding model predictions with LIME</a></li> </ul> <h3><strong>Picks</strong></h3> <p><strong>Gant Laborde:</strong></p> <ul> <li><a href="https://www.react-native.eu/">React Native EU</a></li> </ul> <p><strong>Charles Max Wood:</strong></p> <ul> <li><a href="https://www.amazon.com/Warbreaker-Brandon-Sanderson/dp/0765360039">Warbreaker Mass Market</a></li> </ul> <p><strong>Beril Sirmacek:</strong></p> <ul> <li><a href="https://www.amazon.com/Fast-Academic-Success-Changing-Principles/dp/153347589X">Fast Academic Success: Little Book of The Life Changing Secrets</a></li> </ul> <p>Follow Adventures in Machine Learning on Twitter &gt;&nbsp;<a href="https://twitter.com/podcast_ml">@podcast_ml</a></p>