Past AI Winters and Present-Day Worry
“The AI winter is well on its way,” says Filip Pieknewski, a computer vision and AI expert whose recent viral blog post forewarns an imminent period of reduced funding and interest in artificial intelligence. The term ‘AI winter’ first appeared in the mid-’80s to refer to the quickly diminishing... Read more
8 Rising Stars of Data Science
As data science and artificial intelligence advances at an exponential rate, it’s easy to focus on the results itself without thinking about the people that make it happen. It’s thanks to these data scientists that we’re able to see such rapid growth in the technology that we use daily... Read more
You weren’t supposed to actually implement it, Google
Last month, I wrote a blog post warning about how, if you follow popular trends in NLP, you can easily accidentally make a classifier that is pretty racist. To demonstrate this, I included the very simple code, as a “cautionary tutorial.” The post got a fair amount of reaction. Much... Read more
Blockchain Technology is Hot Right Now, But Tread Carefully.
In 1968, Dr. Spencer Silver, a chemist at 3M Company, was tasked with creating a super-strong adhesive. Despite his efforts, his chemical compound which only achieved moderate stickiness could not find a problem for his solution. That was until his colleague, Art Fry, noticed he could use the glue... Read more
Chatbots in Banking
The Co-arthers of this post are Yue Cathy Chang an SVDS alumi, and Cindi Thompson,Principal Data Scientist at Silicon Valley Data Science. There article was originally posted on the Silicon Valley Data Science blog. From asking Amazon Alexa for traffic conditions, to receiving helpful tips from Slackbot, to using WeChat to... Read more
12 tips for Designing and Managing an AI-driven product
Here’s a question that will keep future Artificial Intelligence (AI) entrepreneurs up at night: How do you manage a product when the software starts writing itself? We’re not quite there yet, but as we build smarter, more complex software that has elements driven by AI we’re also making less predictable software.... Read more
Datasets for Building a Data Analysis Portfolio
I recently had the pleasure of attending the 2017 Association of Public Data Users (APDU) Conference. My favorite part of the conference was talking to people who work with federal data on a daily basis. Overall I found people to be passionate about their work and eager to share information... Read more
It feels good to be a data geek in 2017. Last year, we asked “Is Big Data Still a Thing?”, observing that since Big Data is largely “plumbing”, it has been subject to enterprise adoption cycles that are much slower than the hype cycle. As a result, it took several... Read more
Testing non-cryptographic random number generators: my results
In software, we use random number generators to emulate “randomness” in games, simulations, probabilistic algorithms and so on. There are many definitions of what it means to be random, but in practice, what we do is run statistical tests on the output of the random number generators. These tests... Read more
Bundle Buddy
When building a complex JavaScript application, it is common to minify code and bundle files together to optimize network requests so the app loads faster. A common pattern for complex and large applications is code splitting. Typically this breaks up the bundles by each route in your application so... Read more
Open Data Science - Your News Source for AI, Machine Learning & more