Data Science Statistics Articles, Guide, and Tutorials

Health + Tech Perspective : Access to Symptoms > Better Algorithms

Business + Management Healthcare Modeling Statistics Healthcareposted by Abe Gong February 9, 2018

Here’s a dangerous meme that I keep running into: “A doctor’s job is basically to look at symptoms, make a diagnosis, then prescribe treatment. Medicine is just a big decision tree — ripe for optimization and automation.” Of course, it’s mostly my friends in tech saying these... Read more

Machine Learning Trick of the Day (7): Density Ratio Trick

Deep Learning Modeling Statistics Machine Learningposted by Shakir Mohamed February 6, 2018

A probability on its own is often an uninteresting thing. But when we can compare probabilities, that is when their full splendour is revealed. By comparing probabilities we are able form judgements; by comparing probabilities we can exploit the elements of our world that are probable;... Read more

Machine Learning vs. Statistics

Modeling Predictive Analytics Statistics Machine Learning|statisticsposted by Tom Fawcett February 5, 2018

This was originally posted on the Silicon Valley Data Science blog was co-written by Drew Hardin The Texas Death Match of Data Science. Throughout its history, Machine Learning (ML) has coexisted with Statistics uneasily, like an ex-boyfriend accidentally seated with the groom’s family at a wedding reception: both uncertain... Read more

Ethics for powerful algorithms (3 of 4)

Modeling Predictive Analytics Statisticsposted by Abe Gong February 2, 2018

(Hi, all! Apologies for the long radio silence — my day job has been all-consuming. For those of you joining us for the first time, this series is about the controversies/risks/concerns around using algorithms in the criminal justice system. You might want to check out my first post here,... Read more

2017 Data Science in Review, Topic Modeling

Data Visualization Modeling Python Statistics Tools & Languages Data Mining|topic modellingposted by Diego Arenas, ODSC February 1, 2018

This blogpost is about topic modeling using data from this blog, opendatascience.com. From this, combined with the most visited articles of the year, we will generate the most popular topics of 2017. Last year, we did something similar with popular articles streamed through twitter using Non-Negative Matrix Factorization to... Read more

Watermain Breaks in the City of Toronto

Data Visualization Data Wrangling Modeling Statisticsposted by Eugene Joh January 30, 2018

It has been a while since my last post due to the major transition of moving back to Canada. This post will be a bit shorter than my previous ones but hopefully it will give some insight on practically investigating and analyzing open data that are... Read more

The normalcy of online learning: the more you study, the better you do

Business + Management Deep Learning Modeling Statistics Technologyposted by Marcelo Rinesi January 24, 2018

Online learning, after all, is just a form of learning: time spent studying is one of the best predictors of success. Both the pattern (and the exceptions) can be seen quite clearly on the Open University Learning Analytics dataset, which collects anonymized data about the personal characteristics and,... Read more

What’s the difference between data science, machine learning, and artificial intelligence?

Business + Management Deep Learning Modeling Predictive Analytics Statistics Technology AI|Machine Learningposted by Dave Robinson January 22, 2018

When I introduce myself as a data scientist, I often get questions like “What’s the difference between that and machine learning?” or “Does that mean you work on artificial intelligence?” I’ve responded enough times that my answer easily qualifies for my “rule of three”: When you’ve... Read more

Ethics for powerful algorithms (2 of 4)

Modeling Predictive Analytics Statisticsposted by Abe Gong January 20, 2018

This is the second of four articles on the ethics of powerful algorithms, taking COMPAS as a case study. Our story so far: COMPAS is an algorithm used widely today to predict which criminals are most likely to commit future crimes. Investigative journalists at ProPublica recently published a... Read more

Happy, Healthy, Hungry. Mapping San Francisco Restaurant Cleanliness

Data Visualization Modeling Statistics Tools Tools & Languagesposted by Jonathan Dinu January 15, 2018

Somewhat recently, Yelp announced that it is partnering with Code for America and the City of San Francisco to develop LIVES, an open data standard which allows municipalities to publish restaurant inspection data in a standardized format. This is a step towards allows a much much... Read more