Keith McCormick about ML use cases and Deep Learning

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In this interview Keith McCormick, Data Science Consultant, gives us his opinion about Deep Learning methods: trust; prioritizing use cases; what are the bottlenecks and the lessons learned.

He gives examples of where application of deep learning has made a big impact, and also where it would not be a good method to solve a classification problem. Deep learning concepts might be too complex to understand for most business users. To gain trust in the application of it is one of his concerns. Finally he gives his advice to organisations that are looking into prioritizing machine learning use cases and states the main bottlenecks to overcome in machine learning and AI in a business environment.

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