It's a nice list of resources for starting. General tools he mentions are both easy to start and are used in practice; also, I like the overview part. But most

It's a nice list of resources for starting. General tools he mentions are both easy to start and are used in practice; also, I like the overview part. But most importantly - it's not a dump of all possible links, making a daunting list "I will never go through". Source: I run workshops introducing to ML and Big Data (http://workshops.deepsense.io/ http://workshops.deepsense.io/, next one in London) and I made a lot of choices converging with this one (Python + scikit-learn, everything in Jupyter Notebook, etc). Also, a lot of links there is already in my delicious list of things I am sending to friends wanting to jump into data science (and many of them were already on the HN main page). BTW: See also discussion on the same post on DataTau: http://www.datatau.com/item?id=10093 http://www.datatau.com/item?id=10093