
The opinions expressed on this blog are the views of the writer(s) and do not necessarily reflect the views and opinions of the American Mathematical Society.
Subscribe to Blog via Email

Recent Posts
Category Archives: Data Science
Uncovering ‘What if?’ and ‘Why?’ in the A.I. era
Artificial intelligence, which has been extensively developed in the last few decades, cares about the power of a machine to copy intelligent human behavior. As humans, we make decisions every day that rely on the cause and effects of our … Continue reading
Posted in Artificial Intelligence, Data Science, Statistics
Leave a comment
Introducing Vanessa!
Starting this month, Vanessa Rivera Quiñones (@MissVRiveraQ) will be coediting the blog with me! She received her Ph.D. in mathematics this year from the University of Illinois at Urbana–Champaign and she’s currently looking for a job in Belgium. Last year, … Continue reading
On Technology And Harm
Fictional stories about putting too much trust in technology often involve armies of killer robots. But what if some of today’s real threats of improperly checked technology are less thrilling but nevertheless harmful or even deadly? On the bitplayer blog, … Continue reading
Posted in Data Science, Mathematics and Computing
Tagged algorithm, Brian Hayes, Cathy O'Neil, disaster, hazard, mathbabe.org, plane crash, technology
Leave a comment
Seeing The Future From The Past
I just finished reading The Signal and the Noise, a book about predictions by the American statistician and blogger turned big time data journalist Nate Silver. I highly recommend it. The book came out in 2012 and there was some … Continue reading
Posted in Data Science
Tagged Bias, Facebook, Nate Silver, Predictive Modeling, Robin Hason, Statistics
Leave a comment
The Fat Tech Cat Diet
Like much of the world, I seem to live in a permanent state of vexation about technology, privacy, and how to survive in a world where so many access points are guarded by hungry algorithm crunching data trolls. This is … Continue reading
Posted in Data Science, Mathematics and Computing
Tagged algorithms, Apple, Cathy O'Neil, Google, privacy, Tech
Leave a comment
UnJunking your Charts
Junk Charts is a blog by Kaiser Fung, who describes himself as “the Web’s first data visualization critic.” People have been criticizing and prescribing solutions for misleading data visualization for a long time. (How to Lie With Statistics was first … Continue reading
Posted in Data Science, Math Communication, Statistics
Tagged charts, data visualization, graphs
Leave a comment
That Neural Net That Predicts Sexual Orientation
A neural network is one way to achieve machine learning. Modeled after the human brain, a neural net teaches a computer how to do some task by processing a huge set of training data. The data passes through the network … Continue reading
Posted in Data Science
Tagged algorithms, Cathy O'Neil, mathbabe.org, neural networks, sociology
Leave a comment
Best of the Bots
A slew of paint colors named by a neural network, including such gems as “turdly” and “rose hork,” made it big last week, with mentions in Ars Technica, The AV Club, and even The Atlantic. But for the story straight … Continue reading
What Are You Going to Do with That?
For people in graduate school for math, the question, “What are you going to do with that?” often seems to have a clear, easy answer: “I’m going to be a math professor.” In grad school, our role models are the professors … Continue reading
Posted in Data Science, Math Education
Tagged finding a math job, industry jobs in math, math careers, mathematicians
5 Comments
As The Dust Settles, Let’s Check The Numbers
I really didn’t want to write about the election. But probably, much like you, it’s all I can think about right now. News media is completely saturated with it and the blogs are churning out a steady stream of predictions … Continue reading
Posted in Data Science, Events, Issues in Higher Education
Tagged Cathy O'Neil, Chronicle of Higher Ed, Election, Polling
Leave a comment