Data36 Data Science Podcast

What MACHINE LEARNING algorithms should an aspiring data scientist learn and practice more?

Listen Later

I get way too many questions from aspiring data scientists regarding machine learning. Like what parts of machine learning learning they should learn more about to get a job. And I don't want to disappoint you -- but the thing is that when you get started as a junior, ninety five percent of your projects won't be about Machine Learning. At least, that's a rough average. So what parts of machine learning should you learn more about when preparing for your first job?

Well. None? :-)

Okay, that's not true. There are some parts that you'll have to know about. I'll talk more about that in this episode. 

  • Youtube version: https://youtu.be/yHfRQwOkhJY
  • Original article format here: https://data36.com/machine-learning-algorithms-for-juniors/ 

    • LINKS MENTIONED IN THE EPISODE:

    • https://data36.com/linear-regression-in-python-numpy-polyfit/
    • https://data36.com/jds/
    • http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
    • Newsletter: https://data36.com/newsletter
    • Free mini-course: https://data36.com/how-to-become-a-data-scientist/

      • Check my website: https://data36.com

      Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle

      Find me on Twitter: https://twitter.com/data36_com

      ...more
      View all episodesView all episodes
      Download on the App Store
      Data36 Data Science PodcastBy Tomi Mester
      • 5
      • 5
      • 5
      • 5
      • 5

      5

      4 ratings