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We are what we measure
How minor choices in data measurement and analysis can dramatically impact our identities, economies, and lives
It’s no secret that the most successful businesses, stores, and restaurants with a loyal customer base do a great job of tailoring the…
The Deep Learning Many Body Problem
The “Many Body Problem” (aka N-Body Problem) is a problem that appears simple enough but in fact highlights the difficulty of present day…
Carlos E. Perez
The Ten Fallacies of Data Science
There exists a hidden gap between the more idealized view of the world given to data-science students and recent hires, and the issues they…
In case you missed it
Understanding Bias in Algorithmic Design
By: ASME DEMAND
Background removal with deep learning
This post describes our work and research on the greenScreen.AI. We’ll be happy to hear thoughts and comments!
Which Languages Should You Learn For Data Science?
Data Science is an exciting field to work in, combining advanced statistical and quantitative skills with real-world programming ability…
Opening the Floodgates — Open Data in Panama
Data journalism faces a plethora of challenges in Panama. No Panamanian media outlet has a serious data journalism team, and storytelling…
Houston is showing us why open data should be part of every city’ disaster and recovery plan
Open data has become a crucial part of emergency response to natural disasters. This week, Hurricane Harvey is demonstrating how robust…
How Do Machine Learning Algorithms Learn Bias?
Guest written by Rebecca Njeri!
Using data to figure out TRAFFIC
And providing the most accurate travel times in the industry
The t-distribution: a key statistical concept discovered by a beer brewery
In this post we will look at two probability distributions you will encounter almost each time you do data science, statistics, or machine…
Dive deeper with these tags
Machine Learning for Predicting The Unknown
An interview with data scientist, Courtenay Cotton.
Where Is The Future?
How To Survive Corporate Politics as A Data Scientist
Whether a new data science team or an experienced one. We have created a top 30 list of points to help ensure your team succeeds on its…
The Hitchhiker’s Guide to Machine Learning in Python
Featuring implementation code, instructional videos, and more
Provide Insights, Not Data
How I discovered the importance of having a data strategy the hard way.
Rules for Crash Course Data Engineering
During a recent Data Syndrome project, I transitioned from the role of data-scientist-slash-author-who-does-his-own-data-engineering to a…
Data Visualisation with 1 Billion Shazam Music Recognitions
While at university, I joined Shazam as part time web developer. I stayed at Shazam for 5 enjoyable years. This post is about one hackday…
Creating Brand Personas with Machine Learning
As a developer, I don’t usually sit in on our brand strategy meetings, but seeing as this particular meeting was about 20nine’s brand, I…
Journey of the RMS Titanic through Data Science
Using Machine Learning to Predict Value of Homes On Airbnb
by Robert Chang
Data Science Simplified Part 1: Principles and Process
In 2006, Clive Humbly, UK Mathematician, and architect of Tesco’s Clubcard coined the phrase “Data is the new oil. He said the following:
Analyze public discourse on refugees with cleanNLP
An analysis of refugee mentions in UN speeches and coverage in TV news
Hannah Yan Han
Visualizing High Dimensional Data In Augmented Reality
Imagine walking into your office on a Monday morning, just a couple years from now. You pour yourself a cup of coffee, check the news, and…
How we tracked and analyzed over 200,000 people’s footsteps at MIT
My freshman spring, I had the pleasure to take 6.S08 (Interconnected Embedded Systems), which teaches basic EECS concepts such as…