DataTalks.Club

Mastering Self-Learning in Machine Learning - Aaisha Muhammad

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We talked about:

  • Aaisha’s background
  • How homeschooling affects self-study
  • Deciding on what to learn about
  • Establishing whether a resource is good
  • How Aaisha focuses on learning
  • Deciding on what kind of project to build
  • Find research materials
  • Aaisha’s experience with the Data Talks Club ML Zoomcamp
  • ML Zoomcamp projects
  • Aaisha’s interest in bioinformatics
  • Keeping motivated with deadlines
  • Notes and time-tracking tools
  • Drawbacks to self-studying
  • Aaisha’s interest in machine learning
  • Aaisha’s least favorable part of ML Zoomcamp
  • Helping people as a way to learn
  • Using ChatGPT as a “study group”
  • Is it possible to use self-studying to learn high-level topics
  • Switching topics to avoid burnout
  • Aaisha’s resource recommendations


    • Links:

    • LinkedIn: https://www.linkedin.com/in/aaisha-muhammad/
    • Twitter: https://twitter.com/ZealousMushroom
    • Github: https://github.com/AaishaMuhammad
    • Website: http://www.aaishamuhammad.co.za/


      • Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

      Join DataTalks.Club: https://datatalks.club/slack.html

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