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The Second International Competition in Data Science & AI

We are pleased to cordially invite junior Data Scientists to attend the Second International Data Science Competition (a.k.a the Annual Olympia Datathon), from August 15 to Dec 1, 2020, organized by The International Society of Data Scientists and Scriptedin Corporation. The competition is to create a playground for young Data Scientists to grow skills, knowledge, experience, and collaboration for their career path.

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The Most Influential Young Data Scientist of the Year 2019

The International Society of Data Scientists is pleased to announce the selected individual for the title "The Most Influential Young Data Scientist of the Year 2019", Akshay Bahadur, from Symantec in India. Success only follows ones who make a true approach to get it. We wish Akshay all the best for his future and congratulate him for this achievement.  

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Introducing The National Cup 2020 for Young American Data Scientists

The International Society of Data Scientists is calling for project submissions from young Data Scientists. Participants may be in the range from grades 7-12, undergraduate and graduate students. Submissions are reports for projects that have been pursued in courses, training, and camps. Projects may be team-based or individual-based. Participants should be able to provide evidence that the projects were supervised, or graded by their instructors.

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2019 World Leader Recognition: Geoffrey Hinton & Andrew Ng.

The International Society of Data Scientists (ISODS) is pleased to announce the result of 2019 Nomination for Leaders in Data Science & AI.

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Online Seminar: Cloud-based Electric Load Forecasting with BigQuery ML by Dr. Wei Kou

In this talk, Dr. Kou implements the electric load prediction in the Bigquery ML cloud platform as well as compares its performance with the linear regression model in python scikit-learn. The talk is streamed on Youtube (9PM New York time, Jan 18, 2020). Dr. Wei Kou received a Ph.D. degree in Electrical and Computer Science Engineering from the University of Connecticut in 2018. Her research interests include cloud-based machine learning, game theory, distributed optimization and the related application on power grids and energy networks.

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