Newcomer to Machine Learning, hello "machine learning" world!

Hey! My day job is a data analyst, and looking to understand basics of ML (starting specifically with supervised, regression). Big demand at my work to upskill, and begin working in data science. Excited to learn more, and meet the community online!

So far, I just started the Andrew ng courses, and finished the 1st week module on Coursera, and the lecture 1 on Andrew ng’s Stanford CS229 class YouTube (from 2018):

  • Coursera: Supervised Machine Learning: Regression and Classification
  • YouTube: Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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If you’re looking at Stanford course CS229, and comparing it to the Machine Learning Specialization (MLS) on Coursera:

I recommend you stick with MLS and ignore CS229 for now.

  • The MLS material is much more up-to-date. CS229 includes some obsolete methods that no one uses now.
  • And MLS uses Python and TensorFlow, so you’ll ust some more useful modern tools.