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Category Archives: Data Science
Junk Charts: A Tour
Kaiser Fung’s “Junk Charts” blog is full of treasures, including ones related to the COVID19 pandemic. Evelyn wrote a post about the blog back in 2017. Please join me on a tour of a few of the posts Fung has … Continue reading
Posted in Current Events, Data Science, Math Communication, Visualizations
Tagged charts, COVID19, data visualization, Junk Charts, Kaiser Fung, pandemic, Venn diagrams
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Sustainable Mathematics
On September 20, 2019, a series of strikes around the world demanding action against climate change began as part of Global Week for the Future. It inspired me to look into ways mathematics contributes to the growing challenge of sustainability. … Continue reading
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
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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
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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
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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
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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
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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
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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