Updates from week of June 23, 2019

• Sebastian Raschka’s collection of DL models: https://github.com/rasbt/deeplearning-models

• Subscribed to Data Elixir weekly newsletter: https://dataelixir.com/newsletters/

• Also, became member at LeetCode: https://leetcode.com/

• Mode Analytics has great SQL tutorials: https://mode.com/sql-tutorial/. Need to check out capabilities with their free Mode Studio offering.

• Hitchhiker’s guide to Python is oft-recommended. https://docs.python-guide.org/ by Kenneth Reitz creator of requests and other popular python libraries

• Scala School from Twitter: https://twitter.github.io/scala_school/

• BaseDS archive of blog posts on Distributed Computing: https://medium.com/baseds/archive

• Designing Data-Intensive Applications book: https://martin.kleppmann.com/

• AI Reading List: https://medium.com/@v_maini/ai-reading-list-c4753afd97a

• Sentdex sentiment analysis: http://sentdex.com/sentiment-analysis/ Check out their api.

• Gentle intro to GANs from Jason Brownlee: https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/

• Review of twitter and other tools (free/paid) for social media research: https://blogs.lse.ac.uk/impactofsocialsciences/2019/06/18/using-twitter-as-a-data-source-an-overview-of-social-media-research-tools-2019/ Could be useful for building a social engagement metric for the NBA.

• Dive into Deep Learning with MxNet: https://www.d2l.ai/index.html

• Some VSCode for Python tutorials: https://www.youtube.com/watch?v=-nh9rCzPJ20 and https://www.youtube.com/watch?v=6YLMWU-5H9o

• Some Data Engineering articles to read: https://medium.com/@maximebeauchemin/functional-data-engineering-a-modern-paradigm-for-batch-data-processing-2327ec32c42a and this series of articles: https://medium.com/@rchang/a-beginners-guide-to-data-engineering-part-i-4227c5c457d7