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Tag: MIT

Research Highlights: ExBERT
In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. …
How to Produce Cleaner Data for Robust Pricing
In this contributed article by MIT Sloan School of Management Prof. Negin Golrezaei, found that there are ways to limit price manipulation. The key is the pricing algorithm. Instead of using bids to directly set prices, a prominent group of researchers designed an algorithm that uses censored bids– in this …
Best of 2019: Bengio and Intel on Why AI is Not Magic
[September 20, 2019] Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation “AI is not magic.” Winner of the 2018 Turing Award (with the other “fathers of the deep learning revolution,” Geoffrey Hinton and Yann LeCun), … Continue reading →
Ask a TA: Everything You Need to Know About MIT xPRO’s Online Data Science Course
Eric Bradford, a Teaching Assistant for MIT xPRO’s Online Data Science Course, Data Science and Big Data Analytics: Making Data-Driven Decisions, gives his insights into the unique seven-week course. The seven-week course explores the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine …
MIT Statistics and Data Science MicroMasters
MIT has recently launched Statistics and Data Science MicroMasters program. The program is a series of online MIT graduate courses offered via EdX. It officially starts in the fall of 2018. Share List