Startup System EU offers this European Innovation Conference calendar as a resource to help make connections between startups, investors and innovators.
Our goal is to bring together startups and innovation professionals to learn about cutting-edge innovations and foster dynamic conversation addressing how technology is transforming Europe.
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Open Data Science Conference ODSC Milan 2020
ODSC Milan 2020 – a full-day of immersive workshops, get hands-on with the latest data science platforms, tools, models, and techniques. Forge a connection with these rock stars from industry and academia who are passionate about teaching data science skills to those who will build the future of the industry. Milan, Italy; Jan 16, 2020
ODSC is the best community data science event on the planet. There are other events that cover special topics, or industries, etc., but ODSC is comprehensive and totally community-focused: it’s the conference to engage, to build, to develop, and to learn from the whole data science community.
ODSC is one of the largest applied data science conferences. Our speakers include some of the core contributors to many open source tools, libraries, and languages. Attend ODSC Milan and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.
ODSC – Open Data Science Conference – is essential for anyone who wants to connect to the data science community and contribute to the open-source applications they use every day.
Our goal is to bring together and cultivate the global data science community to help foster the exchange of innovative ideas and encourage the growth of open-source software.
ODSC conferences and content are unique in that they attract an audience of both decision-makers, such as CTOs and lead data scientists, as well as the “ninjas” or decision-influencers, i.e., the people who actually use and build analytic tools.
The primary focus is on the languages and tools that enable effective data analysis, including:
– Open-source languages used in data science (R, Python, Julia, Scikit-learn, etc.)
– Machine Learning
– Predictive Analytics
– Deep Learning (Neural Networks)
– Social Network & Graph Analysis
– Text Analytics and Natural Language Processing
– Data Visualization
– Big Data Tools
– Pig Latin/Hive/other Hadoop-based Languages