PyData Tel Aviv Meetup: Deep Visual Inference: Teaching Computers to See - Giora Simchoni
Spatial thinking with Python - Sangarshanan - PyData Bangalore Meetup #4 (ft. BRUG)
PyData Tel Aviv Meetup: Shaky Ground (truth): Learning with Label Noise - Yaniv Katz
Advanced Inference -- Visual Inference
PyData Ann Arbor: Reshama Shaikh | Community Building: The Good and Messy
PyData Warsaw #17 - Igor Sawczuk - The challenges of image/text dataset building
Cameron Davidson-Pilon: New Trends in Estimation and Inference | PyData New York 2019
Olszewski & Otmianowski: How to efficiently model learner’s knowledge with... | PyData Warsaw 2019
Harrison Pim: Image search without image captions | PyData London 2019
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
My Data Look Like a Mouse - Karla Fejfarová (PyData Prague #3 2019)
Bayesian Deep learning with 10% of the weights - Rob Romijnders
Elina Naydenova: Bridging health inequalities through machine learning | PyData London 2019
Modern Deep Learning through Bayesian Eyes
Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote)
21° PyData Brasilia Receita Federal
Variational Autoencoders VAE - Santiago Pascual - UPC Barcelona 2018
[DeepBayes2019]: Day 6, Keynote Lecture 3. Uncertainty estimation in supervised learning
Lecture 19: Generative Models I
SEQUENCE MODELS - NOAH SMITH
![[DeepBayes2019]: Day 6, Keynote Lecture 3. Uncertainty estimation in supervised learning](https://img.youtube.com/vi/P4WUl7TDdLo/0.jpg)
