How to Structure a Data Science Team: Key Models and Roles to Consider
People or organizations carefully following the trends and expert opinions in data science and predictive analysts will know that it is best to start from machine learning. Experts often advise that it is best to take one step at a time. Start with the proverbial’ low hanging fruit’ and then move on to bigger and more complex operations as you gain relevant experience along the way. Machine-learning-as-a-service (MLaaS) platform Current trends and indications clearly point towards the value of machine-learning-as-a-service (MLaaS) platforms. Machine Learning is fast turning into a commodity thus making it well within the reach and resources of small and mid size organizations. Leading vendors such as Microsoft, Amazon and Google provide Application Process Interfaces (APIs) and platforms to run basic ML operations without the elaborate need to invest in building complex infrastructure and hire professionals with deep knowledge and expertise in data analytics. It is a pru