[D] Dissertation uses ANNs--what do I do with all the training data?
Reddit - Machine Learning
1 min read
Article
Summary
A PhD student discusses challenges in managing training data for their ANN-based dissertation, seeking community advice on how to effectively present preliminary and failed models.
Why It Matters
This discussion highlights the common issue faced by researchers in machine learning regarding the management and presentation of extensive training data. Properly documenting and utilizing this data can enhance transparency and reproducibility in research, which are critical in the field of AI and machine learning.
Key Takeaways
- Researchers often struggle with how to present extensive training data.
- Community input can provide diverse perspectives on data management.
- Effective documentation of training data is crucial for research integrity.
- Considerations for including preliminary and failed models in appendices.
- Engaging with academic committees can guide best practices.
You've been blocked by network security.To continue, log in to your Reddit account or use your developer tokenIf you think you've been blocked by mistake, file a ticket below and we'll look into it.Log in File a ticket
