Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Platforms

https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/

Google TPU

Amazon

Misc

https://github.com/bulutyazilim/awesome-datascience

Data Mining/Machine Learning

• Stanford Machine Learning
• Machine Learning Video Library
• Learning from Data
• Big Data Clustering, Anil Jain
• Big Data Clustering, Anil Jain
• The Elements of Statistical Learning
• StatNotes
• UCLA
• Statistical Computing
• Elementary Statistical Concept

• RDataMining

• Lecture 5 | Machine Learning (Stanford) | Naive Bayesian Classification with an Example of Spam Email Prediction

• Lecture 6 | Machine Learning (Stanford) | Naive Baysian, Neuron Network, SVM
• Lecture 7 | Machine Learning (Stanford) | SVM, optimal margin classifier, primary/dual optimization, KKT, Kenel
• Lecture 8 | Machine Learning (Stanford) | SVM, Kenel
• Lecture 9 | Machine Learning (Stanford) | Learning Theories
• Lecture 10 | Machine Learning (Stanford) | Learning Theories, Variable Selection
• Lecture 11 | Machine Learning (Stanford) | Tips for Machine Learning
• Lecture 12 | Machine Learning (Stanford) | Unsupervised Learning
• Lecture 13 | Machine Learning (Stanford) | EM algorithm
• Lecture 14 | Machine Learning (Stanford) | Factor Analysis, PCA
• Lecture 15 | Machine Learning (Stanford) | PCA, ICA

• Lecture 16 | Machine Learning (Stanford) | Reinforcement Learning

• Lecture 19 | Machine Learning (Stanford) | Advice for Machine Learning

• Decision Tree (1)
• Decision Tree (2)
• Ensemble/Aggregation (1) Basics
• Ensemble/Aggregation (2) Bagging
• Ensemble/Aggregation (3) Gradient Boosting

• Ensemble/Aggregation (1)

• Random Forests Theory and Applications for Variable Selection - Video 1 of 5

• Random Forests Theory and Applications for Variable Selection - Video 2 of 5

References

• https://github.com/academic/awesome-datascience

• Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

• https://rushter.com/dsreader/