Machine learning is THE buzzword of this decade. But job vacancies for experts in this field keeps increasing despite a gigantic amount of people wanting to get a piece of the pie. This is because machine learning is a complex field that combines knowledge, skill, innovation and domain expertise – and most aspiring data scientists are found wanting in at least one of these areas.
Most of these aspiring data scientists are coming from an IT background, with a good (or at least manageable) grasp of SQL. If you are one of these people, there’s good news – Google wants to help you get familiar with ML! The tech giant has released Google BigQuery ML, a cloud offering that enables developers to design and build models in BigQuery using standard SQL queries.
Check out the below GIF, posted on Google’s AI blog today, that gives a quick overview of how you can use the tool:
Below are some of the advantages this tool currently offers:
Google has even documented a ‘getting started’ guide for both data analysts and data scientists who want to learn about this tool:
Awesome news for SQL users! I personally know a lot of folks in IT who want to make the transition to machine learning, but are held back by the complexities this field has. BigQuery ML will clear at least a few of those hurdles for you. Learning and doing ML in a language you are absolutely familiar with is priceless.
Currently, BigQuery ML supports both linear regression and logistic regression models but they are working to integrate other techniques into the tool. We should expect to see that happen in the near future.
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