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Take the Data Science Survey from the University of Pisa

A research team from the University of Pisa seeks your participation in their Data Science Survey. The survey is mainly addressed at those who work every day in the field of data science, either on their own or for a company. This questionnaire will provide the starting point for defining a common framework among those […]

Big Data & Higher Education: How Are They Connected?

In this contributed article, freelance human Avery Phillips points out the many ways that higher education is incorporating big data to make the educational experience better for students. Big data is helping to improve responses to learning style, benefit targeted enrollment, and increase retention rates.

Competition Uses AI to Combat Inequities in Early Childhood Education

Booz Allen Hamilton, Kaggle and PBS KIDS launched the fifth annual Data Science Bowl. This 90-day competition challenges thousands of data scientists and researchers from around the world to apply the power of artificial intelligence to combat inequities in early childhood education (ECE). More specifically, participants will create AI algorithms using anonymous gameplay data from the PBS KIDS Measure Up! App, which helps young children build math skills, to better understand children’s unique learning styles.

Models for Thinking: An Example of Why Data Sciences Increasingly Need the Humanities

Parsing such large-scale data sets – classifying genomic sequences, mapping forms of advertisement, observing online discussions, etc. – is a matter of organization: How do you make sense of, and classify, these clusters of information? The answer, often, is to configure them into abstract but coherent topics.

Interview: KDD2019 Co-General Chairs Ankur Teredesai & Vipin Kumar

During my trip to KDD2019 in August, I had the pleasure of sitting down to chat with the co-chairs of the conference, Ankur Teredesai and Vipin Kumar. In the interview that follows, we discuss the growth of the KDD conference over the years, and also it’s changing focus. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.”

Keys to Successful AI Solutions

To be successful in implementing AI solutions and to take leadership roles within various industries, students need to develop technical skills in machine learning, data management, and cloud computing. To address the growing need for AI expertise in industry, Northwestern University School of Professional Studies recently announced AI specializations within its Master of Science in Data Science and the Master of Science in Information Systems programs, as well as an AI certificate program.

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 learning, and big data analytics. The next online data science course begins Feb. 4, and is currently enrolling.

Can Online Professional Development Courses Teach Data-Driven Decision Making?

MIT xPRO’s Data Science program is segmented into six modules, each lead by a faculty member with expertise, research and teaching experience in that area. After just seven weeks, learners earn an MIT Professional Certificate in Data Science. This guest post from MIT focuses on whether online professional development courses, like its xPRO Data Science program, are successful in teaching data-driven decision making. 

Be on Top of Key Data Analytic Trends

Emily Washington: ‘Businesses are increasingly evaluating ways to streamline their overall technology stack… to successfully leverage big data and analytics’. Tech trends in data analytics are seeing the industry soar. Discover more here.

Interview: Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT

I recently caught up with Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT, to discuss the launch a new professional education course titled, “Designing Efficient Deep Learning Systems.” The two-day class will run March 28-29, 2018 at the Samsung Campus in Mountain View, CA and will explore all the latest breakthroughs related to efficient algorithms and hardware that optimize power, memory and data processing resources in deep learning systems.