As a data scientist I regularly use results based upon the work of Marvin Minsky. This is an email exchange I had with him about 6 years ago, when I was working in Education and deciding to go back to school for Graduate School. On Mon, Jun 21, 2010 at 10:53 AM, Peadar Coyle <email@example.com>… Continue reading A short email from Marvin Minsky – RIP
Ivana Balazevic is a Data Scientist at a Berkeley based startup Wise.io, where she is working in a small team of data scientists on solving problems in customer service for different clients. She did her bachelor’s degree in Computer Science at the Faculty of Electrical Engineering and Computing in Zagreb and she recently finished her… Continue reading Interview with a Data Scientist: Ivana Balazevic
I interviewed one of the core members of the Pandas Python Library Masaaki Horikoshi (sinhrks). I was really happy to interview him, and glad to show that Data-science and software development are really global things 🙂 I lightly edited his answers at his request because English is not his native language. My Biography: I work as… Continue reading Interview with a Data Scientist Tool Developer
I find it useful for morale just to write up what I’ve been working on and what I’ve learned over the last few months. PyMC3: Bayesian Logistic Regression: Bayesian Logistic Regression and Model Selection – I wrote an example of how to use Deviance Information Criterion for model selection in a Bayesian Logistic Regression. This… Continue reading What I’ve been working on – late 2015 and early 2016
A really common Interview question is about Fibonacci functions. In this short gist I compare two simple ways of doing this. This is mainly to highlight the power of generators. For those of us who want to see a good video on this – I recommend this video by the talented, charming James Powell.
(Editor Note: These notes are not my own text they are copied from MacKay and the Astrophysics source below. They’ll be gradually edited over the next few months I provide them because writing them was useful for me) The Hamiltonian Monte Carlo is a Metropolis method, applicable to continuous state spaces, that makes use of… Continue reading What is a Hamiltonian Monte-Carlo method?