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# pgdl | ||
# PGDL task | ||
### Submission deadline: March 30th, 2024 | ||
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## Who is this repo for ? | ||
[Argmax](https://www.argmaxml.com) is hiring Junior Data scientists. | ||
This repo is meant to be a the first step in the process and it will set the stage for the interview. | ||
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## About the position | ||
We are a botique service company that specialize in recommendation systems and personalized-search. | ||
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Building a recommender system requires understanding many aspects of the user behaviour and item properties, and we utilize a variety of tools to do so (such as computer vision, natural language processing, large-language models, etc). | ||
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An ideal candidate would be someone who is **proficient in python**, **curious** and able to do **independent research** when necessary. | ||
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Our offices located in Ramat-Gan, Jabotinsky st. 155 and we work Thursdays from there, the rest of the week we work from home or from clients' premises. | ||
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## Some videos from past projects | ||
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1. [Uri's talk on structured output with large language models](https://www.youtube.com/watch?v=0mDgjZMcW04) | ||
1. [Benjamin Kempinski on offline metrics](https://www.youtube.com/watch?v=5OPa2RYL5VI) | ||
1. [Daniel Hen & Uri Goren on pricing with contextual bandits](https://www.youtube.com/watch?v=IJtNBbINKbI) | ||
1. [Eitan Zimmerman's talk on visual feed reranking](https://www.youtube.com/watch?v=q4uF8nF5SWk) | ||
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## Setup | ||
1. Set up Docker on your local machine | ||
2. In a terimal, type `docker compose up` | ||
3. Browse to [JupyterLab](http://localhost:8888) | ||
4. Follow the instructions on the `sql.ipynb` notebook | ||
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