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This costs about $15k - $19k. With all the great lecture and homework content out on the Internet about AI, ML, deep learning, vision and natural language, I wonder if one can put together a more comprehensive and customized version of this that one can learn for free.
https://www.edx.org/micromasters/columbiax-artificial-intell...
(EdX employee)
How do people in industry generally view these types of certificate programs? Is it markedly "worse" than doing e.g. a Master's on campus? Also - is this closer to a Master's level program or part of an undergraduate curriculum?
The courses are identical to the courses one would take if they were getting their Master's at Stanford - the only difference is that only four classes are required, while a Master's requires about 15. I'm enrolled in Stanford's CS Master's program right now through the Honors Cooperative Program (which lets you get a Master's online while working in industry), and I'm currently planning on doing a dual specializatio…
Anyone have suggestions on alternative programs that are less expensive, online, and self-paced? 40+ IT guy trying to stay relevant.
My advice, start with the free stuff. If you complete it then consider a paid thing. The completion rates of online courses is super low. I take this to mean people don't really want to do it.
Not sure if people remember but Stanford in collaboration with Sebastian Thrun offered one of the first online educational course in Machine Learning. This piqued my interest in ML and I enrolled & completed the course from one of the most rural parts of India (I had to create an extension antenna for my 3g phone to get better reception). Udacity was born due to the popularity of this course. Can't thank Sebastian an…
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According to the EdX page, course credit is only available to Columbia University Master of Computer Science students. https://www.edx.org/micromasters/columbiax-artificial-intell...
Would you provide the actual bit you're interpreting? These are the words I see: ------------- Who is this MicroMasters Program intended for? The MicroMasters Program in Artificial Intelligence is intended for those who have a Bachelor’s degree in Computer Science or Mathematics and have a basic understanding of statistics, college level algebra, calculus and comfort with programming languages. ------------- I don't…
> Take your Credential to the Next Level
> If a student applies to the Master of Computer Science program at Columbia and is accepted, the MicroMasters Credential will count toward 25% of the coursework or 7.5 of the 30 credits required for graduation from the on campus Master of Computer Science program.
This part: "Learners who successfully earn the MicroMasters Credential are eligible to apply to the Master of Computer Science program at Columbia University" doesn't seem to mean anything. Isn't everyone already eligible to apply?
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i'm sorry but this is not correct. CS Masters programs are more money-making then credential caring. Georgia Tech's MS as well as CMU's both accept non-CS traditional backgrounds. This is trivially verifiable on linkedin. That said they do require high ugrad GPAs frequently. Source: Knowing Georgia Tech Phd TA's and being a CMU TA for Master's classes
> Georgia Tech's MS as well as CMU's both accept non-CS traditional backgrounds. There are exceptions but in general CS Masters programs look for sufficient coursework/background in Computer Science and Mathematics. An art major with 0 math/programming courses will find it difficult to be accepted to a Masters program in CS.
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In general Masters in CS programs require either a BS in CS or coursework in areas like operating systems, data structures, algorithms, computability/complexity etc. These courses generally have prereqs such as 1-2 semesters worth of programming courses, discrete math etc. Someone without a CS background most likely would not be accepted to a standard MS program.
I am directly familiar with students accepted to CMU and Oxford for CS graduate programs (and other universities, but they aren't as noteworthy) without a Bachelor's degree. It's true that they had a CS background , but they demonstrated that with experience and one or two specific Coursera courses in areas that were lacking.
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It's a good course. The only(?) real criticism of it is the reliance on Matlab/Octave.
And even then, I can see why they use it - the syntax is pretty light and largely gets out of the way of the problem-space. The only problem is that modern applied ML is dominated by Python...
I don't work with machine learning and AI, but I used to do a lot of server-side programming with dynamic language. Switching to golang has been great. I'm far more productive with it and the CPU and memory savings have been great. Isn't ML the kind of domain where CPU cycles and memory matter?
Oh well, as someone who is currently enrolled into Udacity's Self-driving car and AI nanodegrees, watching ongoing MIT's self-driving course, considering taking GATech's online M.S. degree for ML, I should probably start planning budget for this Stanford offering...
Awesome! I'm also currently taking Udacity's self-driving car nanodegree, but I think I only intend on doing the first of three semesters because I want to concentrate on the fundamentals, and not necessarily self-driving cars. Do you recommend enrolling or checking out the AI nanodegree? Have you looked at the ML one?
So far SDC is the best fun I had in a while, getting a car drive all by itself on a circuit feels absolutely cool! ;-) Have fun as well, I hope they have more cool stuff prepared for us!