bad-forecast-good-decision
awesome-project-ideas
| bad-forecast-good-decision | awesome-project-ideas | |
|---|---|---|
| 1 | 3 | |
| 17 | 7,404 | |
| - | - | |
| 10.0 | 4.2 | |
| about 2 years ago | about 1 year ago | |
| TeX | ||
| BSD 2-clause "Simplified" License | MIT License |
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bad-forecast-good-decision
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Is it worth staying in my first iob out of college for the “experience” in my resume, even if I’m not learning any new skills?
Interacting directly with the people who have the problem you're trying to solve is a great cure for arrogance. Even if you deliver a perfect prediction, does that help anyone make a useful decision? Check out this pre-print: Bad Forecast, Good Decision which shows how there are cases where better forecasting can lead to worse outcomes.
awesome-project-ideas
- Project Ideas
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Procedurally generated rocks in my software "Proc-rock"
My best recommendation I could give you is to simply create things. Start small, for example create a small program in the field you're interested in and then go from there. You can check this for ideas on what to create. There's a lot of resources in there.
- Do you guys have any ideas for website ideas?
What are some alternatives?
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
sktime - A unified framework for machine learning with time series
awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-ocr
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
awesome-explainable-graph-reasoning - A collection of research papers and software related to explainability in graph machine learning.
datasets-for-good - List of datasets to apply stats/machine learning/technology to the world of social good.
proc-rock - Procedural Generation of Realistic-looking Rocks using Geological and Visual Clues
time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Quickdraw-appendix - Dataset of 25k penises: an appendix to the Quick, Draw! Dataset