Category Archives: Data Science

Machine Learning Beats Data Science for Top Tech Job By Salary

Rank Job Title Number of Postings per Million Average Base Salary Average Growth in Postings 2013-2016 1 Machine Learning Engineer 58 $134,306 36% 2 Data Scientist 360 $129,938 108% 3 Computer Vision Engineer 20 $127,849 34% 4 Development Operations Engineer … Continue reading

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Data Science Skills: Domain Expertise, Programming, Statistics

Source: Business Over Broadway Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics.

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Pressed Data: Best of 2016

  In Pressed Data, my Forbes.com column, I try to chronicle the evolution of digital technologies, their business impact, and the people behind the innovations, business models, and new ideas. In 2016, I covered artificial intelligence—the 60-year-old new new thing, … Continue reading

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Predicting the Presidential Election: What Went Wrong? (Part 2)

Wall Street Journal: When asked about what qualities matter most, about four in 10 people picked the ability to bring about change, and Mr. Trump won more than 80% of their votes. Mrs. Clinton was heavily favored by voters who … Continue reading

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Predicting the Presidential Election: What Went Wrong?

KDnuggets: …a good lesson for Data Scientists is to question their assumptions and to be especially skeptical when predicting a rare event with limited history using human behavior.

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Visually Linking AI, Machine Learning, Deep Learning, Big Data and Data Science

Source: Battle of the Data Science Venn Diagrams HT: KDnuggets What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Over the past few years AI has exploded, and especially since 2015. Much of that has to do with the … Continue reading

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A Career in Data Science: Bob Rogers, Chief Data Scientist, Intel

  “Business leaders want ‘the answer,’” says Bob Rogers, Chief Data Scientist for Big Data Solutions at Intel. But data scientists must understand what “the answer” means in the specific business context and communicate the expected impact in the language … Continue reading

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