Introduction to Self-Learning

Data Science is a very fast evolving environment:

  • New languages: C++ → SAS/Matlab → R → Python → Julia/Swift/Scala?)

  • New software: Tableau / PowerBi / MLFlow / AutoML

  • New infrastructures: AWS, GCloud, Azure, OVH

  • New SOTAs: Word2Vec (2013), LSTM (2014), GRU (2015), Transformer (2017), BERT (2018), XLNet (2019), GPT-3 (2020)

So self-study is vital to stay current and progress and is also a tool for specialization. Essential to build a career in Data Sciences.

This category will help you discover resources for self-training with quality material recommended by our data experts.