SMILES - Summer School of Machine Learning at SK

⚡️ On December 10th, join our online Open Doors event to learn about available programs and curriculum structure, Skoltech's renowned faculty members, career possibilities, student life on and off-campus, and more. 👉 Register now: is.gd/Yxwa9E

Top 3 lectures at @SMILESkoltech according to the students! Variational Bayes, @ta_broderick: youtube.com/watch?v=7t_3dN… Quantum Machine Learning, Maria Schuld: youtube.com/watch?v=xKygmw… Natural Language Processing, @kchonyc: youtube.com/watch?v=xJHSZN… #MachineLearning #DataScience

SMILES students chose their top-3 lecturers of the school. Congratulations to @ta_broderick (MIT), Maria Schuld (@UKZN), and @kchonyc (@nyuniversity)! Congratulation! 👏👏 #MachineLearning #DataScience

Another great memory about SMILES is the lecture about Robust DL by @zacharylipton, assistant professor at @carnegiemellon appointed in both @mldcmu and @teppercmu 👇 youtube.com/watch?v=l-M5C9… #MachineLearning #deeplearning #DataScience

Check a great SMILES lecture by @EmtiyazKhan, a team leader at the @RIKEN_JP/@riken_en @RIKEN_AIP_EN in Tokyo where he heads the Approximate Bayesian Inference Team and a visiting professor at the EE department in @TUAT_all 👇 youtube.com/watch?v=XvG9Eh… #MachineLearning #DataScience

Uncertainty in #neuralnetworks? The idea is to use dropout at the test time to get different predictions for the same input to obtain a distribution of predictions instead of a point estimate. Here is @yaringal demonstrating a simple @TensorFlow implementation @SMILESkoltech:

This week I've presented my @SenseableCity paper at @SMILESkoltech + quite enjoyed lectures on Quantum #MachineLearning, Imitation Learning, #NLP and "speed dating" with other young researchers. Kudos to organizers))

We are starting to share videos of SMILES lectures. The first is Bayesian Deep Learning by @andrewgwils, Assistant Professor at Courant Institute of Mathematical Sciences (@nyuniversity) and @nyudatascience 👇👇👇 youtu.be/i5PEMt21dO8 #MachineLearning #DataScience

Thank you @Skoltech_ru @SMILESkoltech for organizing such a nice summer school on Machine Learning and accepting me :). Very interesting lectures.

SMILES is finished and we would like to thank our amazing speakers from @Skoltech, @TUDarmstadt, @yorkuniversity, @carnegiemellon, @nyuniversity, @MIT, @TelAvivUni, @UofT, @CUBoulder, @utaustin, @StanfordGSB, @JohnsHopkins, @riken_en, @MSFTResearch, @XanaduAI and @UKZN! 👏👏👏

⏰ 20:00 (GMT+3) Causality and Increasing Model Reliability — @suchisaria 👉 youtube.com/watch?v=wEEjJQ…

⏰ 18:00 (GMT+3) Bayesian nonparametrics — @sineadwilliamso 👉 youtube.com/watch?v=eQdIp3…

Kamil Ciosek is the #MachineLearning researcher with a focus on reinforcement learning. Apply now: smiles.skoltech.ru/school

⚡️ Lecture schedule for the SMILES final day ⚡️ ⏰ 13:00 (GMT+3) Imitation Learning — Kamil Ciosek 👉 youtube.com/watch?v=iFGHLB… #MachineLearning