PhD.,Wroclaw University of Economics. A data scientist with specialization in time series analysis and reinforcement learning. DS consultant and lecturer.
Learn how to combine the power of graph neural networks in PyTorch Geometric with the flexibility and scalability of PyTorch Lightning with my new https://t.co/cwNK71asu2 blog post:
PYG + Lightning == perfect match
#DataScience#deeplearning#GNNs
https://t.co/FDI2R5RQoH
Do you know the difference between Knowledge Graphs and Heterogeneous Graphs? If you want to learn how to build them in Neo4j or Pytorch Geometric, see my latest article on medium:
👇👇👇
https://t.co/ooA1JxDjE9
#GNNs#datascience#deeplearning
@SkyNews We are struggling in any way we can to stop the government from pushing our country in the authoritarian direction.
There are still many people in Poland who want share European democratic values
Lately, ChatGPT and LLMs have been impressing the business world with their incredible capabilities. Users have expressed concerns about their reliability and tendency to make mistakes. One way to improve their performance might be the usage of ontologies or knowledge graphs
both of which are forms of so-called structured knowledge. Graph Neural Networks, specialised deep learning architectures, are extensively researched and may hold the key to enhancing the reasoning abilities of all ML systems. Sounds fun? Join me at the DSS Summit 2023 ML Edition
@radio_szczecin Słowo na niedzielę dla @radioszczecin Bardziej się Wam przyda niż kazanie w Kościele.
Art. 151. KK: Kto namową lub przez udzielenie pomocy doprowadza człowieka do targnięcia się na własne życie, podlega karze pozbawienia wolności od 3 miesięcy do lat 5.
The presentation will concentrate on aspects like:
1. What makes reinforcement learning hard?
2. How to properly formulate a problem for a reinforcement learning algorithm?
3. What are the main challenges like a "reward attribution problem"?
Looking forward seeing you :)
#datascience#reinforcementlearning
Once more, I will have the pleasure of presenting speech at the conf. DSS-Machine Learning Edition.
The date: 21.06.2022 10:30+1.
"Everything is a game - potential for using Reinforcement Learning in different areas".
https://t.co/4LCGpwqedQ
#MachineLearning#DataScience#DeepLearning
Let's start with the topic of reshaping the data for RNNs. While CNNs and their filters are intuitively understood, many people have a hard time visualising the data structure for LSTMs, GRUs, etc.
https://t.co/HzadDHwBp1
#MachineLearning#DataScience#DeepLearning
After 3 or 4 years of hesitation, I have finally updated my website and written my first data science blog post. I want it to cover a little bit more in-depth, and unusual topics than most of the others.
https://t.co/y2bO8n4CL8