Updates from week of July 22, 2019

Jul 14, 2019

Similar website to Hackernews:
- Hacknews with tags: http://www.taggernews.com/tags/ai/machine%20learning/: List of tags: http://www.taggernews.com/tags/
- Lobsters: https://lobste.rs/
Thread on free compute resources: https://news.ycombinator.com/item?id=20225118. Creating a voice assistant app on AWS / GCP to get rlling monthly credits.
Create cross-platform Alexa / Google app using https://www.jovo.tech/
Another google action link: https://medium.com/google-cloud/building-your-first-action-for-google-home-in-30-minutes-ec6c65b7bd32 or https://developers.google.com/actions/community/overview
100 Days of Algorithms: https://medium.com/100-days-of-algorithms/latest
Modern Algorithmic Toolbox class: http://web.stanford.edu/class/cs168/index.html
Estimating unsseen populations. May be useful to obtain distribution of bids not seen.
- Papers: https://theory.stanford.edu/~valiant/papers/unseenJournal.pdf (orig),https://arxiv.org/pdf/1707.03854v1.pdf (updated), code https://github.com/siddarthhari95/unseen_estimator and https://github.com/roydeb/unseen_estimator
Pre-trained NLP models: https://www.analyticsvidhya.com/blog/2019/03/pretrained-models-get-started-nlp/
New guide to Ludwig: https://blog.dominodatalab.com/a-practitioners-guide-to-deep-learning-with-ludwig/
H2O Driverless AI recipes: https://github.com/h2oai/driverlessai-recipes
Spark NLP: https://github.com/JohnSnowLabs/spark-nlp-workshop
Azure AI Data Hackathon: https://azureai.devpost.com/ Sep 10 2019 deadline
Noah Gift AWS Lambda: https://github.com/noahgift/awslambda/blob/master/beginners_guide_aws_lambda.ipynb
New FastAI class on NLP:
- notebook setup: https://forums.fast.ai/t/a-code-first-introduction-to-natural-language-processing-2019/50203/2
- https://www.fast.ai/2019/07/08/fastai-nlp/
- Youtube-playlist https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9
- PyTorch Transformer https://blog.floydhub.com/the-transformer-in-pytorch/