A new blog post every Tuesday!

Hi dear readers! I’ve been blogging for just over three years now. Writing my first blogs in January 2017 in a small café in London out of pastime, I had never imagined that I would actually attract a readership. And while my blog grew in visitors and followers, it always remained just a hobby for…

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Probability Distributions mapped and explained by their relationships

Sean Owen created this handy cheat sheet that shows the most common probability distributions mapped by their underlying relationships. Probability distributions are fundamental to statistics, just like data structures are to computer science. They’re the place to start studying if you mean to talk like a data scientist.  Sean Owen (via) Owen argues that the…

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Simulating data with Bayesian networks, by Daniel Oehm

Daniel Oehm wrote this interesting blog about how to simulate realistic data using a Bayesian network. Bayesian networks are a type of probabilistic graphical model that uses Bayesian inference for probability computations. Bayesian networks aim to model conditional dependence, and therefore causation, by representing conditional dependence by edges in a directed graph. Through these relationships, one…

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Building a realistic Reddit AI that get upvoted in Python

Sometimes I find these AI / programming hobby projects that I just wished I had thought of… Will Stedden combined OpenAI’s GPT-2 deep learning text generation model with another deep-learning language model by Google called BERT (Bidirectional Encoder Representations from Transformers) and created an elaborate architecture that had one purpose: posting the best replies on…

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Building a $86 million car theft AI in 57 lines of JavaScript

Tait Brown was annoyed at the Victoria Police who had spent $86 million Australian dollars on developing the BlueNet system which basically consists of an license-plate OCR which crosschecks against a car theft database. Tait was so disgruntled as he thought he could easily replicate this system without spending millions and millions of tax dollars….

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Realtime Corona Virus Dashboard

John Hopkins University’s Center for Systems Science and Engineering maintains this Corona virus dashboard showing the latest statistics and other information regarding the 2019-2020 outbreak in Wuhan. The dashboard is updated every 15 minutes and demonstrates, among others, the total infected, death toll, recovery rate, and geographical spread.

The 12 Truths of Machine Learning – by Delip Rao

In this original blog, with equally original title, Delip Rao poses twelve (+1) harsh truths about the real world practice of machine learning. I found it quite enlightning to read a non-hyped article about ML for once. Particularly because Delip’s experiences seem to overlap quite nicely with the principles of software design and Agile working….

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Why cancer screening is the last thing you should pick first to work on with AI

I came across this opinionated though informed commentary by Vinay Prasad on the recent Nature article where Google’s machine learning experts trained models to predict whether scans of patients’ breasts (mammogram’s) show cancerous cells or not. Vinay Prasad [official bio] is a practicing hematologist-oncologist and Associate Professor of Medicine at Oregon Health and Science University….

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Google's Dataset Search: Direct access to 25 million interesting datasets

I used to keep a repository of links to interesting datasets to learn data science. However, that page I can retire, as Google has launched its new service Dataset Search. The “world wide web” hosts millions of datasets, on nearly any topic you can think of. Google’s Dataset Search has indexed almost 25 million of these…

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