
#023 ML Ольга Перепелкина. Про федеративное обучение и распознавание эмоций
#023 ML Olga Perepelkina. About federated learning and emotion recognition
@machinelearningpodcast9502

#023 ML Olga Perepelkina. About federated learning and emotion recognition

#022 ML Tatyana Shavrina. Evolution of approaches to natural language processing (NLP)

#021 ML Alexey Nechaev. AlphaGo and the philosophy of the game of Go

#020 ML English language for machine learning

#019 ML Evgeny Razinkov. Roadmap for diving into machine learning pt.2

#018 ML Evgeny Razinkov. Roadmap for diving into machine learning part 1

#017 ML Victoria Zemlyak. Machine Learning in Scientific Research


#015 ML Basics of Neural Networks part 2 Gradient Descent

#014 ML Anastasia Nikulina. Career of a data scientist

#013 ML Alexey Yaroshenko. From advertising specialist to data scientist. Studies at MADE

#012 ML Yuri Yarovikov. How to graduate from SHAD, lead the School of Deep Learning and stay in Russia

#011 ML Yuri Okulovsky. Artificial Intelligence in the world of fashion and how to prepare for the Singularity

#010 ML Andrey Klimenko. Neural Shit: Illegal animal enlargement, Frail Putin and Progroverovanie

#009 ML Sergey Markov. Russian GPT-3 and robot debt collectors from Sber

#008 ML Grigory Sapunov. Prospects for the emergence of General Purpose Artificial Intelligence

#007 ML Evgeny Razinkov. Managing commercial development in ML






#001 ML Artificial intelligence, machine learning, neural networks. What's the difference?