Resources

Here, I share resources I find useful about Statistics, Data Science, Machine Learning and other topics. I will do my best to keep it up to date, so stay tunned!

• Books:

  • Basic Statistics: D.M. Levine, P.P. Ramsey, R.K. Smidt; “Applied Statistics for engineers and scientists”, 2001, Prentice-Hall
  • Basic Statistical Learning: James, G.; Witten, D.; Hastie, T.; Tibshirani, R.; “An Introduction to Statistical Learning”, Springer
  • Statistical Learning: Hastie,T.; Tibshirani, R.; Friedman, J.;“The Elements of Statistical Learning - Data Mining, Inference, and Prediction”, Springer

• Youtube:

  • Learning Python - Corey Schafer: Corey Schafer
  • Learning Statistical Learning methods - StatQuest: StatQuest

• Online Courses:

  • Machine Learning (Coursera): Machine Learning
  • Python and Basic Data Science (Udemy/Portuguese):Python for Data Science in Portuguese
  • SQL for Data Science: UC Davis - SQL
  • Deep Learning (Coursera): AndrewNg

• Database:

  • Machine Learning Repository: UCI
  • Google Dataset search: https://datasetsearch.research.google.com/
  • Open ML: OpenML
  • Kaggle: Kaggle

• Social Media:

  • Welcome ai: Welcome ai
  • Flai Inteligencia Artificial (in Portuguese): Flai

• Network (Only if you live in Calgary):

  • YYC Data Community: https://www.yycdata.ca/

• Extra websites:

  • Learning Markdown: Tutorial
  • Dealing with problems using Git: Oh Shit!
  • Great general reading material: Towards data science