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    • “Thank you for the invitation, it’s been a long time since I last was here.”

      I suppose that “Welcome back, MarkG!” then is an appropriate response.

      “Our project is in education, trying to improve all aspects of the E-learning process through ML. Doing a research of the current landscape doesn’t show many results. Coursera seems to be more active with some efforts in the website (recommendations, search results) and mail marketing, but that’s about where things end from what I have seen.”

      You may find useful this data science podcast on creating adaptive tests.  Instead of every student being tested on 50 items regardless of ability, the computer-based test instead provides increasing or decreasing in ability subsequent questions after each response until it’s determined your competency.  Some real opportunities for “natural language processing (NLP)” and other machine learning approaches. Hope you find it interesting.

    • our project is in education, trying to improve all aspects of the E-learning process through ML. Doing a research of the current landscape doesn’t show many results. Coursera seems to be more active with some efforts in the website (recommendations, search results) and mail marketing, but that’s about where things end from what I have seen.

      I thought the below graph was interesting. Manufacturing was generating 4X as much data as education ten years ago. Curious as to whether the ratio is still the same.

      Image credit