It was a bit since last post. Recently I have been not following a very structured approach to courses or training materials, but I have rather attempted to consolidate what I have learned along these years. My daily job continues to be very far apart from Data Science and indeed it is going also far …
This post is a pointer to a great free resource, one of the treasures of the net that are there for those who want to learn. I find it useful and I sift through it from time to time while I am taking the Machine Learning MOOC from professor Andrew Ng. I have not seen …
I was invited to join the Coursera Data Science community a few weeks ago. I did, and this is a very interesting meeting point where people with any degrees of Data Science experience and skills meet and discuss several related topic. As I feel I am still not mature as a Data Scientist, I followed …
I was looking for some references and examples in the scope of the “Regression Models” course on Coursera. Something structured that could bridge the gaps in my R knowledge (and they are many) and something that could provide me with a list of case studies. I have already bought a book on this, it is …
One thing about learning is that the more you learn the more you feel ignorant about the subject you are trying to learn about. Sometimes you would like to see a particular aspect treated or explained in a different way. Some other times you would like to have an example. The net gives a big …
While browsing the web in search of supporting material for the “Statistical Inference” course on Coursera, I ended up on this link, which proposed an interactive simulation of the Central Limit Theorem for Means. It works well, it is a nice piece of work. I decided to have a look at the code, since in …
I just completed the Coursera MOOC “R Programming” by Johns Hopkins University and on which I already have written about in another recent post. I have put together some thoughts on this course while responding to a question on the courses’ forums. The question was: “How do I master R Programming. My answer: If you …