What can I do now that I couldn’t do before, or do better than I could before? Today, most firms are busy building platforms and capabilities to process and manage massive amounts of data. If we call this era…
Read More >The first step to kick off a Machine Learning (ML) project is to have a written proposition for the business problem, and second, to frame the ML problem. Before even discussing an ML method, it is necessary first to understand…
Read More >The difference between data science consultants and a data science team at a company depending on machine learning (ML) solutions is significant. In the first instance, the consultants need to have a good understanding of both the business and technology….
Read More >Joining us today we have my esteemed colleague Paul Spiegelhalter. Paul is a data scientist and machine learning specialist with expertise in predictive analytics and algorithmic modeling across a number of industries, including computer vision, online advertising and user analysis,…
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