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Welcome

Welcome to DiSCo Github page! Here you can find relevant links and codes for our meetups. Good luck to all of us!

Who We Are

DiSCo is a data science community at Ben-Gurion University of the Negev. We are a community with a goal of overall development and growth of students and professional enthusiasts in Be’er-Sheva in areas of data mining, data science, and machine learning. DiSCo meetups act as a platform to provide hands-on experience in data science, tools and techniques, while networking and having fun. We are all about learning, snacks and friendship.

Our Motivation

Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. Harvard Business Review called it "The Sexiest Job of the 21st Century".

The motivation of this club is to serve as a platform for BGU data science enthusiasts to pursue their interests in data science to learn, network, collaborate, create, and innovate.

Goals

  • Meet experts from the industry and learn about real-world data science challenges
  • Learn and acquire skills using data science tutorials
  • Participate in online competitions and practice what we learned
  • Form groups and networks for future collaborations
  • Have fun! :)

Events

Haven't Regestered The Membership Yet ? Link to the Regesteration Form

First meetup on 25th March

  • Introduction and Goal of DiSCo Community
  • Insight to Data Science Problems & Preparation to compete
  • Link to the event page

Second meetup on 8th April

Third meetup on 6th May

Resources

Data Science / Machine Learning Podcasts Blogs
* Unsupervised (in Hebrew) Link * No Free Hunch Link
* Learning Machines 101 Link
* The Talking Machines Link
* Data Skeptic Link
* Linear Digressions Link
* This Week in ML & AI Link

Books

  • Link Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka (highly recommended book)
  • Link An Introduction to Statistical Learning with Applications in R (recommended book)
  • List of Free Data Science Books

Contact