Data is everywhere. We are now living in a data driven society, with big data transforming everything from science to how we do our weekly shop. Data Matters will bring experts from around the globe to help make sure you’re using your data to its fullest. Join this Matters series and stay up to date on all the incredible tools, methods and practices available to data scientists and engineers.
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Keynote by Steph Locke on Ethics for Data Science
Organised by Data Matters
At this month's Data Matters, we're excited to be joined by Steph Locke! She'll be telling us more about ethics in data science, and how advancements in data science can both save and ruin lives. Check it out!data-science ethics python data r data-visualization big-data
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The Data and Design Challenge
Featuring Hollie Lubbock
At this month's Data Matters, we're excited to joined by Hollie Lubbock! Data/design, quant/qual can no longer work in our comfortable silos, without qualitative and human understanding of the world, data can never reach its full potential. To fully understand not only the context of...python design data-sets algorithmic-design data-driven-design data-matters matters data society bigdata
Using ML to Understand the Link Between Scenic Beauty and Wellbeing
Featuring Chanuki Illushka Seresinhe
Intuitively, we often seek out beautiful scenery when we want a respite from our busy lives, but do such settings actually help to boost our wellbeing?datasets urban-analytics deep-learning wellbeing machine-learning data matters
The ML revolution depends on YOU
Featuring Louis Dorard
Machine Learning (and its subfield Deep Learning) is powering the Artificial Intelligence renaissance. Some even speak of a revolution. What is the current state of things in 2019? Are we entering a new “AI winter”? Has the AI revolution already happened?data matters data-matters big-data machine-learning
Creating a Data Engineering Culture
Featuring Jesse Anderson
At this month's Data Matters, we're excited to be joined by Jesse Anderson! Jesse will share the stories of teams who haven’t set up their data engineering culture correctly and what happened, and how to turn it around. Don't miss it!data data-practices good-practie data-management bigdata data-engineering
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