Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with good reason – it is an approach to AI which is showing great promise when it comes to developing the autonomous, self-teaching systems which are revolutionizing many industries.
Last September, as part of our global Windows Azure for Research program, we announced our cloud training classes that we designed to show academics how Windows Azure can accelerate their research. Now that we’re almost a month into the new year, we would like to let you know what we have planned for 2014—including some new resources that you can use and share with your colleagues and contacts.
OK, perhaps our fire-and-brimstone headline goes a bit overboard. Then again, maybe it is time for a dose of data science atonement, particularly if youre guilty of any of the five deadly sins summarized below.
According to Michael Walker, founder and president of the nonprofit Data Science Association, a professional organization of data scientists with more than 500 members, these big-data sins are all too common. In fact, the Association’s recently pennedCode of Professional Conduct is designed to establish a set of ethical standards for the burgeoning data-science industry.
Not all big-data professionals are guilty of the five deadly sins, of course, which Walker summarized in a phone interview withInformationWeek. So here they are. Do any of these data-science transgressions hit home?