Comparing AI and Machine Learning MOOCs: UC Berkeley vs Stanford

In summary, the conversation discusses a high school student's interest in two upcoming MOOCs on AI and Machine Learning from UC Berkeley and Stanford, respectively. The student seeks opinions on which course to take and is advised to do research on the teachers' backgrounds and teaching styles before making a decision. While one person suggests the machine learning course based on recent news, it is recommended to do further research before deciding.

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
  • #1
sarvesh0303
61
2
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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  • #2
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.
 

Related to Comparing AI and Machine Learning MOOCs: UC Berkeley vs Stanford

1. What is the best AI MOOC available?

The best AI MOOC for you will depend on your learning goals, budget, and prior knowledge. Some popular options include courses from Coursera, edX, and Udacity.

2. How can I determine the quality of an AI MOOC?

You can determine the quality of an AI MOOC by researching the instructor's credentials, reading reviews from previous students, and looking at the course syllabus to see if it covers the topics you are interested in.

3. Are there any free AI MOOCs available?

Yes, there are many free AI MOOCs available from reputable platforms such as Coursera, edX, and Udacity. However, keep in mind that some may require payment for a certificate or additional resources.

4. How long does it take to complete an AI MOOC?

The length of an AI MOOC can vary, but most courses are designed to be completed within a few weeks or months. It ultimately depends on your pace of learning and the amount of time you have available to dedicate to the course.

5. Do I need any prior knowledge or experience to take an AI MOOC?

It depends on the specific course, but most AI MOOCs do not require prior knowledge or experience in the field. However, having a basic understanding of programming and math concepts may be helpful for some courses.

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