All the data you need.

Tag: MIT

Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models
Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines both reconstruction-based and prediction-based models. They’ve been building it for three years—AER has been learning and extracting intelligence for signals and …
MIT Experts on What You Need to Know Now about Data Analytics
In a new series, "The Analytics Edge," published by MIT Sloan School of Management’s Ideas Made to Matter, MIT Sloan faculty, alumni, and industry experts share practical tips for developing and cultivating a strong analytics practice designed to give companies and organizations a distinct advantage for the future.
AI For the Future of Work.
AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report Achieving Individual – and Organization- Value with AI.
Fracture and flow of Oreo cookies
Crystal Owens, Max Fan, John Hart, and Gareth McKinley from Massachusetts Institute of…Tags: MIT, Oreo, physics
MIT Tech Review Study: Building a High-performance Data and AI Organization — The Data Architecture Matters.
Only 13% of organizations — super achievers — are succeeding at their data and AI strategy yet the successful application of data and AI has never been a greater necessity for survival than now1. In order to remain forward-thinking in today’s landscape, data leaders are looking for the ability to …
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