Comparing AI and Machine Learning MOOCs: UC Berkeley vs Stanford

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SUMMARY

The discussion compares two MOOCs: the AI course from UC Berkeley taught by Dan Klein and the Machine Learning course from Stanford led by Andrew Ng. Participants suggest evaluating the instructors' backgrounds, specialties, and teaching styles through online resources to make an informed decision. While one user favors the Stanford course due to its recent prominence in the news, they recommend conducting thorough research to determine which course aligns better with personal learning goals.

PREREQUISITES
  • Understanding of MOOCs (Massive Open Online Courses)
  • Familiarity with AI (Artificial Intelligence) concepts
  • Knowledge of Machine Learning fundamentals
  • Research skills to evaluate course content and instructors
NEXT STEPS
  • Investigate the course syllabus for UC Berkeley's AI course
  • Explore Andrew Ng's teaching style through online lectures
  • Compare the publication records of Dan Klein and Andrew Ng
  • Read reviews and testimonials from past MOOC participants
USEFUL FOR

High school students, aspiring data scientists, and anyone interested in pursuing AI or Machine Learning through online education platforms.

Which course on AI?

  • Artificial Intelligence by Dan Klein from UC Berkeley

    Votes: 0 0.0%

  • Machine Learning by Andrew Ng from Stanford

    Votes: 1 100.0%
  • Total voters
    1
sarvesh0303
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I am a high school student and an avid learner through MOOCs. This spring, there are two MOOCs coming up which caught my interest- one on AI from UC Berkeley(Dan Klein) and the other on Machine Learning from Stanford(Andrew Ng). Though I am inclined towards the Berkeley course, I wanted to get opinions from other people on which one to take. So what do you think guys?
 
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It seems no one is responding to your survey. Perhaps you should check out the backgrounds of the teachers like what their specialities are and what they've published... You could also Google for videos of them to see which ones teaching style suits you more and do a resonant pros and cons evaluation to pick the best one.

Personally without doing any research I would choose the machine learning one as that has been the news more recently. The AI course will probably cover machine learning but in a more superficial way. However don't take my word do some due diligence and then decide.
 

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