- Rules of Machine Learning by Google
- Deeplearningbook.org
- DeepLearning.TV on YouTube
- Getting Started with TensorFlow on TensorFlow.org
- Word2Vec Tutorial - The Skip-Gram Model
- Complete guide to Parameter Tuning in Xgboost on Analytics Vidhya
- Running R on AWS
- Random Forests in R
- Apache Spark installation on Windows 10
- CRAN Task View on Time Series Analysis
- UCI Machine Learning Repository
- DataRobot Artificial Intelligence Wiki
- TensorFlow Playground
- Classifier comparison
- Gradient Boosting Explained
- R packages by Hadley Wickham
- CRAN Packages By Name
- https://www.datasciencecentral.com/profiles/blogs/probability-cheat-sheet
- https://bbc.github.io/rcookbook/
- https://towardsdatascience.com/the-actual-difference-between-statistics-and-machine-learning-64b49f07ea3
- http://www.unofficialgoogledatascience.com/2016/10/practical-advice-for-analysis-of-large.html
- https://sebastiansauer.github.io/rowwise_dplyr/
- https://stats.stackexchange.com/questions/1194/practical-thoughts-on-explanatory-vs-predictive-modeling
- http://www.holehouse.org/mlclass/
99 Others
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