Engineers have plenty to be skeptical about. We look to data sets to give us something resembling objective truth. Some areas of research have so many variables that it is hard to isolate facts. Kyle Polich hosts the popular data science show Data Skeptic, where he examines problems and solutions around data, and he is one of the guests today in our round table discussion.
There are some big unanswered questions in our world that might eventually be solved with enough data and the right scientific approach: nutrition, or drug discovery, or image classification. The hiring process is like this. How can you predict whether an engineer will make for a good hire? Ammon Bartram of Triplebyte is working on solving the hiring process for engineering organizations and he is the other guest for this roundtable episode.
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Deep learning promises to dramatically improve how our world works. To make deep learning easier and faster, we need new kinds of hardware and software–which is why Intel acquired Nervana Systems, a platform for deep learning. Intel Nervana is hiring engineers to help develop a full stack for AI, from chip design to software frameworks. Go to softwareengineeringdaily.com/intel
to apply for a job at Intel Nervana. If you know don’t know much about the company, check out the interviews I have conducted with engineers from the company. You can find these at softwareengineeringdaily.com/intel
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