Machine Learning Services At Amazon News Today

iStock For machine learning to be used more widely, it needs to be brought closer to the data that fuels ML modeling and insights. For database developers and data analysts that are still getting up to speed on ML modeling, the ideal scenario is to integrate ML algorithms and training models directly into the tools they already use, making it easier for them to extract meaningful insights from their data. In-house database teams are likely to be experts in SQL, but they may not k...

Clean, well-structured data and executive buy-in are critical factors in scaling ML efforts