Datathon cases

What we did in the year 2024!

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Meetups!

  1. Modern forecasting approaches and challenges

Forecasting is a task which attracts and challenges scientists for more than 100 years.
Forecasting the future is a rare and mistic ability which attract and fascinate people for more than 100 years. In the modern era there is a ton of data which could be used to help for this task and there is also ton of research at the area. So from where to start and how to build an efficient and modern forecasting system?
At this talk you will understand the main challenges which to expect as well as the guidelines for their resolution. We will solve the forecasting problem as ML problem as once defined will make a comparison of the current state of the art algorithms.

By Milen Chechev on 11.05.2024

    2.Smart future: How AI agents and blockchain transform the future

Fetch.ai is a project founded in 2018 that develops software open source and libraries for multi-agent systems related to blockchain. Fetch.ai’s technology focuses on creating the decentralized economic systems using intelligent agents for data management, transaction execution and other tasks.

By Nikolay Dimitrov on 18.09.2024

    3. Automation in Retail: AI Based Inventory Management

In this session you will have the chance to learn more about:

1. Introduction to AI-driven automation – How automation transforms retail by optimizing inventory management

2. Demand Modelling and Forecasting

  • ML models for customers demand prediction
  • Sales components: seasonality, trend, remaining component
  • External factors: retailers actions and disturbances

3. Inventory Optimization

  • Constraint optimization for optimal inventory management
  • Parameters: Supply
  • Objective: Profit
  • Constraints: Waste, Stockouts, Turnover, etc.

4. Conclusion

  • AI and future of jobs and roles

By Alexander Efremov on 20.11.2024.

Paper Reading!

We continued the practice organized by Petko. 6 Paper readings during the year, the number of attendees is growing.

1. CLIP – Learning Transferable Visual Models From Natural Language Supervision

(24.03.2024) Article Link

2. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

(28.04.2024) Article Link

3. Chronos: learning the language of time series

(2.06.2024) Article Link

4. RoFormer: Enhanced Transformer with Rotary Position Embedding

(30.06.2024) Article Link

5. ConvNeXt: A ConvNet for the 2020s

(20.10.2024) Article Link

6. Growing neural cellular automata

(17.11.2024)

Summer BBQ & Networking

2 times this year in the park. More next summer.

Beers!

Beer Networking,and let’s meet for a beer on the first Wednesday of the month, without any topics, presentations. The next event is on the 3rd of December.

Next even

 

 

 

 

 

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