Applied Machine Learning with BigQuery on Google’s Cloud

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Price: 19.99$

Welcome to Applied Machine Learning with Big Query on Google’s Cloud. Right now, applied machine learning is one of the most in-demand career fields in the world, and will continue to be for some time. Most of applied machine learning is supervised. That means models are built against existing datasets. Most real-world machine learning models are built in the cloud or on large on-prem boxes.  In the real-world, we don’t built models on laptops or on desktop computers. Google Cloud Platform’s Big Query is a serverless, petabyte-scale data warehouse designed to house structured datasets and enable lightning fast SQL queries. Data scientists and machine learning engineers can easily move their large datasets to Big Query without having to worry about scale or administration, so you can focus on the tasks that really matter – generating powerful analysis and insights. In this course, you’ll: Get an introduction to Big Query ML. Get a good introductory grounding in Google Cloud Platform, specific to Big Query. Learn the basics of applied machine learning. Understand the history, architecture and use cases of Big Query for machine learning engineers. Learn how to building your own machine learning models at scale using Big Query. This is a mid-level course and basic experience with SQL and Python will help you get the most out of this course. So what are you waiting for? Get hands-on with Big Query and harness the benefits of GCP’s fully managed data warehousing service.