There are barriers and complications to successful real-world implementation of machine learning projects. This presentation will outline practical solutions to overcoming them including: selling the benefits to the business; collaborating with data engineers to deliver supporting data infrastructure; learning from, and working with developers to put models into production; building testing into the process and future-proofing ongoing maintenance of the solution.
Resource invested in these areas ultimately generates higher return than time spent building the perfect machine learning model.
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Machine Learning - What They Don’t Teach You At Coursera - Harvinder Atwal
Harvinder Atwal is Head of Data Strategy and Advanced Analytics. He leads a team of analysts to deliver data-driven customer insight, marketing optimisation and predictive analytics for Moneysupermarket from one of the largest customer databases in the UK with records for 23 million unique individuals.