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Nossa empresa
Company: US-Based 💵 Annual Compensation: $100k - $140k USD (Approx. R$550k - R$750k)
Descrição da vaga
🔍 Responsibilities:
Build tools to monitor inference infrastructure performan…
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first of all we will define a custom OpenAI Gym environment for our dynamic hedging problem.
Steps to Implement:
Data Collection:
Collecting historical financial news articles and their correspon…
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This was my first time working with LLMs as a Machine Learning Engineer. So, I've learned a few things:
- Prompt engineering is very crucial for the performance and accuracy of the application and ev…
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## Goal
| User story |
|:---------------------------------------------------------------------------|
| As a Client Platform Engineer,
| I want hosts to evaluate policies and run scripts if they…
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Idea from Ellen Sachs Leicher:
calculations as to the energy impact and carbon footprint (on average) of decreasing the level of comfortableness - for example, keeping the thermostat a degree or so…
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### Is your feature request related to a problem? Please describe.
The current approach to analyzing IPL data provides valuable insights but lacks depth in statistical analysis and advanced visualiza…
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### Description
We have some unofficial github documentation related to windows performance that I think would be helpful to move into our formal documentation, perhaps as a new page attached to: htt…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
This project aims to forecast crude oil prices using machine learning
### Use Case
Dat…
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This project aims to predict the estimated marks and grade of students based on various inputted factors using given dataset from Kaggle :
https://www.kaggle.com/datasets/nikhil7280/student-perfor…
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_Impacted MarkLogic processes auto recover, holding up the other nodes for approximately 20 seconds. Multiple retry mechanisms reduce the likelihood of failed requests. Does not significantly increa…