Exploring the new NumPy features: Rewrite Python for Data Analysis

The new version of NumPy 1.10 contains the new Python @ operator. This is for matrix multiplication and greatly simplifies some code. This also appeals to me as a Math geek because it makes it really easy to write code down based on what you read in a paper. This makes implementing a linear algebra… Continue reading Exploring the new NumPy features: Rewrite Python for Data Analysis

Interview with a Data Scientist: Nathalie Hockham

(Linkedin picture) I was very happy to interview Natalie about her data science stuff – as she gave a really cool Machine Learning focused talk at PyData in London this year, which was full of insights into the challenges of doing Machine Learning with Imbalanced data sets. Natalie leads the data team at GoCardless, a… Continue reading Interview with a Data Scientist: Nathalie Hockham

Talk: Can Probabilistic Programming be applied to Rugby?

Yesterday evening I gave a talk at the Data Science Meetup in Luxembourg. This is part of my preparation for the talk at PyData the Python conference for Data Enthusiasts in Berlin. A few remarks – my slides from last night are here in IPython notebook format. I used for the presentation the excellent RISE… Continue reading Talk: Can Probabilistic Programming be applied to Rugby?

Speaking at PyData Track at PyCon Sei in Florence Italy

I’m happy to be a part of the PyData speaking community by speaking at my first PyCon. Here is the abstract and then some remarks 🙂 One of the biggest challenges we have as data scientists is getting our models into production. I’ve worked with Java developers to get models into production and there aren’t… Continue reading Speaking at PyData Track at PyCon Sei in Florence Italy