Inspired by Vicki I decided to build a Tweetbot – the code is available here. You can follow the tweetbot online – the architecture that Vicki proposed is basically what I did, only I made a few changes in the code. Time taken It’s worth pointing out first that it took me approximately 32 hours of… Continue reading How to use AWS Lambda to build a tweetbot
Month: September 2018
What is a Message Broker for?
I’ve been working in tech for a few years now, and that’s included writing a lot of code. One thing I never got my head around was what is a message broker? I’ve definitely seen them in architecture meetings, and heard people speak of ‘RabbitMQ’ and ‘Redis’ but I don’t really know what they’re for.… Continue reading What is a Message Broker for?
Adding value as Data Scientists
I’ve been thinking and discussing with various people lately – ‘career path for data science’. Someone said to me recently: Go become a research scientist and specialise in specific machine learning models say NLP at a specific company such as Google, Amazon, etc. Become a data scientist at a startup or growth company and accept… Continue reading Adding value as Data Scientists
Interview with a Data Scientist – Vicky Boykis
It gives me great pleasure to interview Vicki Boykis – we’ve chatted a lot on Twitter over the past few years and her blog/ side projects have been inspiring for my own. Vicki is a Data Scientist and Engineer who tweets awesome stuff. She’s well worth following. Her twitter bio – Born: Jewish in Russia. Raised:… Continue reading Interview with a Data Scientist – Vicky Boykis
Why Probabilistic Programming is the next big thing in Data Science
TLDR: This is an opinionated post, but based on recent trends. What is Probabilistic Programming? I recently wrote a course teaching this. Probabilistic Programming is a newish paradigm used in Quantitative Finance, Biology, Insurance and Sports Analytics – it allows you to build generative models to infer latent parameters and the uncertainty of those parameters. It’s been… Continue reading Why Probabilistic Programming is the next big thing in Data Science
Bayesian Stats related links
Just a short blog post today. I wanted to write up some useful PyMC3 links I’ve found. https://eigenfoo.xyz/bayesian-modelling-cookbook/ — Great work by George Ho, who’s been contributing to PyMC3 recently. It’s a collection of tips I wished I had when I started out. https://discourse.pymc.io/ — This may be known to a lot of people –… Continue reading Bayesian Stats related links
Some useful git commands
I’ve been using github and git for over 5 years now. And I STILL forget half of the time. I’m just writing them here for reference. This here is for keeping up your master up to date. git checkout master git reset upstream/master –hard then when checking out git checkout master git pull git checkout… Continue reading Some useful git commands