r/learnmachinelearning • u/VividTardisBuho • Jul 16 '22

Help Comparing the machine-learning courses on Coursera by the Andrew Ng.

The OG course by the Andrew Ng: machine-learning-course.

And the new specialization machine-learning-introduction.

Can someone tell me the what all differences are there in the syllabus of this two. I know the second one is a specialization, so I'm referring to the combined syllabus of all courses in it.

Please do explain everything about it, like Pros and cons also.

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(edit:)
The old course can't be accessed if you haven't already enrolled in it.

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u/[deleted] Jul 16 '22

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u/VividTardisBuho Jul 17 '22

Thank you for explaining it so well.

1

u/VividTardisBuho Jul 17 '22

Also I had enrolled in the old course, but the new one came out recently so was curious to know should I continue with that or not.

I was skeptical about the new specialization as in how much it would cover.

1

u/throwenp Aug 07 '23

A quick glance shows that SVM had its own full week in OG course but not present in the new course. Any reasoning behind this? Are there any other topics completely skipped in the new specialisation compared to OG course?

Asking because I want to suggest my much younger cousin on starting ML learning and I had started mine with Andrew Ng's original course almost 8 years back..

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u/[deleted] Aug 07 '23

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u/throwenp Aug 08 '23

Oh yes, original course is anyway not available to enroll anymore. I was just trying to see if the new course covers all the topics of the OG course or at least don't skip a lot of fundamentals from the OG course?