** Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Reinforcement Learning algorithms — an intuitive overview has a good overview of different approaches to RL. **
http://rail.eecs.berkeley.edu/deeprlcourse/
https://towardsdatascience.com/reinforcement-learning-q-learning-with-decision-trees-ecb1215d9131
The article A …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://blog.floydhub.com/ is a great place for deep learning blogging.
Deep Learning for NLP: An Overview of Recent Trends Chapter 8 of the book (Performance of …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/
Google TPU
Amazon
https://github.com/bulutyazilim/awesome-datascience
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
https://github.com/kailashahirwar/cheatsheets-ai
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
dvc + DAGsHub sounds like a good lightweighted way for data version control.
dolthub is another good way for data version control.
Data Versioning, Data Pipelines …