Weekly Update, October 31, 2019

Updates from week of October 31, 2019

• Top 10 SQL Tricks: https://blog.jooq.org/2016/04/25/10-sql-tricks-that-you-didnt-think-were-possible/
• Portland Area ML Resources: https://github.com/jimtyhurst/ml-resources-Portland-OR-USA/blob/master/ml-resources-Portland-OR-USA.md
• Interpretable ML: https://christophm.github.io/interpretable-ml-book/
• Bert Word Embeddings Tutorial: https://mccormickml.com/2019/05/14/BERT-word-embeddings-tutorial/
• Swifter: https://towardsdatascience.com/one-word-of-code-to-stop-using-pandas-so-slowly-793e0a81343c & https://github.com/jmcarpenter2/swifter
• Cross-Validated fun facts:
  • https://stats.stackexchange.com/questions/352036/what-should-i-do-when-my-neural-network-doesnt-learn
  • Top posts by score (score>400): https://stats.stackexchange.com/search?q=score%3A400
  • Top posts by views (views>400000): https://stats.stackexchange.com/search?q=views%3A400000
• Streamlit: https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace
• Cron jobs in AWS: https://medium.com/better-programming/cron-job-patterns-in-aws-126fbf54a276
• No surprise - Feather is the best format for data storage in pandas: https://towardsdatascience.com/the-best-format-to-save-pandas-data-414dca023e0d
• Robo Advisors in Python: https://towardsdatascience.com/python-for-finance-stock-portfolio-analyses-6da4c3e61054
• Pandas Profiling package (One line EDA): https://towardsdatascience.com/exploring-your-data-with-just-1-line-of-python-4b35ce21a82d
• Spleeter: Free Music Separation: https://waxy.org/2019/11/fast-and-free-music-separation-with-deezers-machine-learning-library
• Jovian.ml https://jovian-py.readthedocs.io/en/latest/
• Pachyderm (Hub Beta) https://www.pachyderm.com/
• Francois Chollet - The Measure of Intelligence: https://arxiv.org/pdf/1911.01547.pdf
• LibFM http://arogozhnikov.github.io/2016/02/15/TestingLibFM.html
  • FastFM tutorial: http://ibayer.github.io/fastFM/index.html
• Home Assistant https://www.home-assistant.io/