Searching for our Junior Community Leader

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Today we live in an information enabled, connected and data-driven world. Forward-looking companies and individuals are harnessing the power of information and proactively taking data-driven decisions. The Data Science field is on the rise and rightfully so, as it is instrumental in driving research and business forward. Data Science Society develops a platform where data […]

Global Datathon with a Local Host in Bangalore

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GLOBAL DATATHON 28 – 29 – 30 September 2018 Local Host | Manipal Academy of Higher Education and Manipal ProLearn – Data Science   Manipal Academy of Higher Education (MAHE), formerly branded as Manipal University, is a private research institute deemed to be university located in the university town of Manipal, Udupi, Karnataka, India. Manipal Academy of Higher Education has branch campuses in Dubai and Mangalore. It also has […]

Global Datathon with a Local Host in Vienna

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GLOBAL DATATHON 28 – 29 – 30 September 2018 Local Host | We are Developers   WeAreDevelopers’ mission is to connect developers globally. WeAreDevelopers was founded to help developers grow to find opportunities that open new beginnings. The organization enables developers across the world to share their knowledge and experience with one another, and they […]

Global Datathon 2.0 – The Worldwide Virtual Data Science Hackathon with Hosts in Asia and Europe

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Data Science Society is proud to announce the second edition of the worldwide online Datathon – #GlobalDatathon2018 – a 48-hours Data Science Hackathon for all data passionates to explore real-world challenges and learn from practice working together with like-minded people and mentors globally. Global Datathon 2018 This September get ready for a fall Datathon – […]

An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples

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What actually does Machine Learning mean and what types of problems does it solve? This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts. The practical examples substituted with the mathematical functions of univariate linear regression, linear least squares and others make it easy to follow the logic and get comfortable with machine learning basics.