The artistic use of AI challenges some of the cornerstones of the modern Western concepts of art and creativity. Filippo Lorenzin, Garrett Lynch, Paul Mouginot and Iskra Velitchkova will tell us more about this interesting topic.
19:00 24 June 2021 @ ONLINE, YouTube
This is the opening lecture of a discussion series called DDALOS co-organized by the AI Center FEE CTU (six lectures are planned for the 2021). Nathan Ensmenger from the Indiana University will present the history of the field within the larger context of the history of work, automation, computation, and philosophy.
19:30 7 June 2021 @ ONLINE, YouTube
Multiple speakers will show us how they use different technologies to successfully implement MLOps with variety of organizations and they will also share the most important and tricky parts of this process.
Talks:
18:00 26 May 2021 @ ONLINE, YouTube
Yury Kasimov and Joao Da Silva from Avast will present MATS stack for machine learning, and Jiří Koutný from DataSentics will share their experience with Feature store as a part of modern data lakehouse.
18:00 21 April 2021 @ ONLINE, YouTube
Marton Hubay, Priyan Chandrapala and Nikolay Vaklinov from Infinite Lambda, a UK-based data engineering consultancy company, is going to give a talk about how to resolve the issues of automatization in Machine Learning by applying the latest DevOps best practices on the Databricks platform.
18:00 8 April 2021 @ ONLINE, Zoom
Talks:
18:00 28 January 2021 @ ONLINE, Zoom
Dependency resolvers try to satisfy the version range requirements of libraries used using different approaches, such as backtracking or implementing an SAT solver. Fridolin Pokorny will discuss about plugging in machine learning algorithms in this AI/ML era and try to resolve software stacks using reinforcement learning.
19:00 13 January 2021 @ ONLINE, Zoom
How does Process Mining work and how can machine learning help with it? Ondrej Brichta will cover a quick introduction into Process Mining techniques, how classical prediction techniques can be a huge help for process prediction and cover the advancement of relatively recent neural networks architectures like LSTM into the process mining sphere.
19:00 2 December 2020 @ ONLINE, Zoom
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.
