What is Bayesian Statistics Bayesian Statistics (or Probabilistic Programming) take a more effective and deep approach to perform analysis of any given data and situation. A/B testing is one of the hottest topics on the internet nowadays. In this testing, you simply consider two different groups, A and B, to analyze the performance of both… Continue reading 3 reasons to learn Bayesian Statistics in the new year
Bayesian Statistics and Supply Chain Supply Chain can be thought of as a set of procedures that are coordinated to combine manufacturers, suppliers, warehouses, and stores in order to ensure proper production and distribution of material of right quantities at the right location and in right time. This, in turn, ensures that the total supply… Continue reading Applications of Bayesian Statistics: Supply Chain
I’ve been contributing on and off to PyMC3 and other projects for a few years now. I’m still learning a lot about Bayesian Statistics and building software. I intend to continue to work on this stuff. Chris Fonnesbeck – recently did a talk at NeurIPS where he talks about some of the stuff we’ve learned in… Continue reading 3 key lessons from being an OSS developer
Probabilistic Programming versus Machine Learning In the past ten years, we’ve seen an explosion in Machine Learning applications, these applications have been particularly successful in search, e-commerce, advertising, social media and other verticals. These applications have been particularly focused on predictive accuracy and often involve large amounts of data — sometimes in the region of terabytes — in fact this… Continue reading Why would I ever NEED Bayesian Statistics?
I’m seeing a very fuzzy line between where technical business analysts end & IT teams begin. Y’all know of good articles/books on managing responsibilities when coding analysts on the biz side interface with IT dev teams? Seems tricky. #rstats #pydata #python — JD Long (@CMastication) October 19, 2018 My friend JD Long, has been a… Continue reading I’m an Analyst and the software engineers made fun of my code!
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
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
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
Machine Learning hipster effect Machine Learning is very in vogue at the moment. I feel that a pressure some junior data scientists and engineers feel is the need to do ML just to be a cool hipster, or as a friend of mine calls it ‘the ML hipster trap’. What is the ML hipster trap?… Continue reading Avoiding the ML hipster trap
I interviewed the interesting and fascinating Ian Wong – he’s the technical co-founder of OpenDoor, which I personally think is amazing as a concept! 1. What project have you worked on do you wish you could go back to, and do better? Pretty much any project I’ve worked on in the past Two projects stick… Continue reading Interview with a Data Scientist – Ian Wong of OpenDoor