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Mastering Self-Learning in Machine Learning - Aaisha Muhammad

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Manage episode 360110821 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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:

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

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

Our events: https://datatalks.club/events.html

  continue reading

165 episoade

Artwork
iconDistribuie
 
Manage episode 360110821 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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:

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

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

Our events: https://datatalks.club/events.html

  continue reading

165 episoade

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