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KDD 2020 Recognizes Winning Teams of 24th Annual KDD Cup

Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Learning. KDD 2020, the premier interdisciplinary conference in data science, recognized over sixty winning teams in this year’s KDD Cup competition, which took place virtually Aug. 23-27, 2020.

KDD 2020 Showcases Brightest Minds in Data Science and AI

The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, predictive analytics and crowdsourcing were first introduced.

KDD 2020 Invites Top Data Scientists To Compete in 24th Annual KDD Cup

The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining officially opened registration for its annual KDD Cup, the organization’s signature data science competition. This year’s competition features four distinct tracks that welcome participants to tackle challenges in e-commerce, generative adversarial networks, automatic graph representation learning (AutoGraph) and mobility-on-demand (MoD) platforms.

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.