Using the team data science process with Machine Learning Services

You've explored the basics of machine learning, and you understand the languages, tools, and SQL Server 2019 components you can use to implement it, and now you're ready to get started on some actual data science. A data science project is different from traditional software development projects because it involves a single solution at a time, it is highly dependent on improving the solution once it is deployed, and it involves more stakeholders in the design and implementation.

In business intelligence, you can build a single cube that can answer many questions. But in data science, you can't use a k-means algorithm on a prediction that requires linear regression, and the features and labels needed for each would be entirely different – each question you want to answer requires a new project. Some will be small, others will be more involved, but all of them require that you work as a team...