Choosing the right BigQuery ML algorithm
In this section, we'll learn why it is so important to define a clear business objective before implementing a ML model, and we'll understand which BigQuery ML algorithm is suitable for each specific use case.
Important note
A data scientist is a professional in charge of the collection, analysis, and understanding of large amounts of data. This role typically requires a mix of skills, such as matching statistics and coding.
A data analyst is different from a data scientist. A data analyst is more focused on industry knowledge and business processes rather than on coding and programming skills. People in this role have huge experience in data manipulation and visualization and are able to present relevant business insights derived from data.
In order to get meaningful results in ML, it is necessary to define a clear business objective. Before starting on the actual implementation of the ML model, data analysts and data...
