Syllabus of the talk (Michal Chovanec): 1. Reinforcement learning versus supervised learning 2. Deep Q Network (DQN) – why it’s naive NN not working 3. Advanced architectures: noisy DQN, duelling DQN, rainbow DQN, attention DQN and hands-on practices how to create a network architecture 4. Real examples (Atari, Super Mario, Doom 2) – how is network interacting with the given world.
19:00 4 November 2020 @ ONLINE, Google Meet platform
Sentiment analysis is an automated process of recognition of how an audience feels. It is one of the most demanded classification tools exploiting artificial intelligence in the marketing field in general. Jan Rus will share how they developed a sentiment analysis system fine-tuned to social media.
18:00 21 October 2020 @ ONLINE, zoom
Automate your ML model train-deploy cycle, garbage collection, and rollbacks, all from Python with an open-source PyPi package based on Cortex. Speaker is Václav Košař.
18:00 23 September 2020 @ ONLINE, zoom
Speakers at our events speak about topics they are passionate about. While featuring more advanced content, the talks are kept friendly to high school students.
People of all ages join our meetups, starting from hight school students wishing to learn more, to senior developers working at local and global companies.
We focus on all topics relevant to data science and data analytics, such as statistics, classifications, artificial intelligence and sometimes even databases.
