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Practicing Data Science

Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]

Machine Learning 101

Click to learn more about author Steve MacLauchlan. By now you’re probably well aware that Big Data and Artificial Intelligence are major disruptors in almost every single vertical. Understanding the landscape can be challenging, particularly for business customers who want to innovate but aren’t sure where to start. In today’s blog, I hope to leave you, […]

Getting Back to the Basics: What is Machine Learning?

Click to learn more about author Seth Deland. Machine Learning seems to be the engineering industry’s latest buzzword – a technology with astonishing potential, yet one that many businesses struggle to understand, let alone embrace.  Just last year, fewer than one-third (23%) of businesses had adopted any level of Machine Learning automation, and only 5% reported […]

Machine Learning: From Then Until Now

Machine Learning is a form of Artificial Intelligence (AI) which allows computers to learn by way of observation and experience, rather than rigid pre-programming. Machine Learning uses computer programs that are capable of growth and change as they process new data. Using algorithms, Machine Learning allows computers to develop habitual responses based on the repeated […]