Data related problems in machine learning: The data janitor returns

#artificialintelligence 

If you're trying to solve data related problems with no or limited resources, be them time, money or skills, don't go no further. This talk is opinionated and deals with GDPR, deep learning, and all the hype. How does data infiltrate the organization? Which roles come first, what problems do they solve and what problems do they introduce? A down-to-earth approach in this hype-driven environment to make decisions impactful and practical-based on real world experience, not product brochures and GitHub repository stars.

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