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**Submitting author:** @nic-barbara (Nicholas Barbara)
**Repository:** https://github.com/acfr/RobustNeuralNetworks.jl
**Branch with paper.md** (empty if default branch): paper
**Version:** v0.3.2
**E…
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Feature to automate a variety of tasks associated with training a predictive machine learning model to generate market forecasts given a set of input signals. In general, this aims would be a sandbox …
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### What should we add?
Given the demand for robust coupling with PyTorch, we propose to enhance the module https://github.com/qiskit-community/qiskit-machine-learning/blob/60f2c2e1b6469b0ba878d202…
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Problem Description:
The increasing use of social media has been linked to rising mental stress levels, particularly due to behaviors such as constant comparison with others, seeking validation, an…
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Problem Description:
The current house price prediction model achieves 68% accuracy, which is suboptimal for this regression task. The model relies on a standard multiple linear regression approach…
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The paper mentions, "we compute the F1 score over candidate sentences in a scientific paper against the reference rationales. We denote this metric as Rationale-F1." So, I believe the authors mean the…
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Hello, I'm Ethan Tan, a skilled Full-Stack Developer and Machine Learning Engineer with over 8 years of experience in the industry. With a robust background in JavaScript, TypeScript, and WebAssembly,…
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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○ Time: 2 weeks
○ Details Needed: Access to historical data, Validation techniques (cross-validation)
○ Steps:
1. Access historical NFL data from the centralized data warehouse.
2. Imp…
zepor updated
1 month ago
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this can be done as activity: giving each team dataset, its description and research question. and ask whether it is ok to use ML: