data science
My new course series on Coursera, Machine Learning for Everyone (free access), fulfills two different kinds of unmet learner needs. It’s a conceptually-complete, end-to-end course series – its three courses amount to the equivalent of a college or graduate-level course – that covers both the technology side and the business side. While fully accessible
By: Chao Chen, Software Engineer, Google Research
Originally posted on Google AI Blog, Aug 11, 2020. One of the greatest challenges faced by users who are visually impaired is identifying packaged foods, both in a grocery store and also in their kitchen cupboard at...
Are we really at a new stage of so-called industrial development much like how the car replaced the horse and buggy as the main mode of consumer transportation? This would appear to be the case by some...
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
Of all the analytic tools that are available to the researcher, perhaps cross tabulations are the most common. A crosstab is nothing more than a table showing the relationship between two or more variables. Where the table only shows...
Every now and then an opportunity comes along that you just can’t pass up. One such opportunity that fell into my lap was when O’Reilly media reached out to me to see if I was interested in...
Originally published in MAIEI, May 3, 2020. The adoption of AI-enabled solutions in the healthcare industry has accelerated with the ongoing pandemic and while there are a lot of concerns raised, most quite aptly, there is a...
Originally published in The Markup, April 23, 2020. While vowing to police COVID-19 misinformation on its platform, Facebook let advertisers target users interested in “pseudoscience.” Last week, Facebook CEO Mark Zuckerberg wrote a post pledging to combat...
Originally published in Medium, April 28, 2020 The landscape is evolving quickly. Machine Learning will transition to a commonplace part of every Software Engineer’s toolkit. In every field we get specialized roles in the early days, replaced...
Originally published in KDNuggets, April, 2020. Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes a 180 degree flip? Companies are quickly seeing...
By: Dr. Jennifer Lewis Priestley, Executive Director of Analytics and Data Science Institute, Kennesaw State University and Dr. Robert McGrath, Chair of Health Management and Policy,
University of New Hampshire
This is part 4 of a 5-part series on university/corporate partnerships in analytics and data science. In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las...
