Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
CI/CD for Machine Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
GitHub Actions
Travis CI
Jenkins
act
Run your GitHub Actions locally.
References
MLOps: Continuous delivery and automation pipelines in machine learning
AI Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
The picture comes from Machine Learning Algorithms Mindmap.
Feature Engineering
Handling Categorical Variables in Machine Learning
Regularization in Machine Learning Models
Ensemble
Frameworks
Libraries for Gradient Boosting
Big-data (Spark) Friendly Frameworks …
Tips on Feature Engineering for Machine Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://towardsdatascience.com/automatic-feature-engineering-using-deep-learning-and-bayesian-inference-application-to-computer-7b2bb8dc7351
Feature selection Feature extraction Adding features through domain expertise
FeatureTools a Python library for feature engineering Deep neural network can extract features too
whether feature engineering is …
Tips on Reinforcement Learning
** 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. **
Courses & Tutorials
http://rail.eecs.berkeley.edu/deeprlcourse/
https://towardsdatascience.com/reinforcement-learning-q-learning-with-decision-trees-ecb1215d9131
Frameworks
The article A …
Tips on NLP
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.
Overview of NLP
Deep Learning for NLP: An Overview of Recent Trends Chapter 8 of the book (Performance of …