Applied Machine Learning with BigQuery on Google's Cloud
What you'll learn
- You'll receive an introduction to BigQuery specific to machine learning
- You Learn the Basics of the Google Cloud Platform, specific to BigQuery
- You'll learn the basics of applied machine learning from a machine learning engineer
- Learn how to building your own machine learning models at scale using BigQuery
Requirements
- You should have a basic knowledge of SQL
- You should have basic knowledge of machine learning
Description
Welcome to Applied Machine Learning with BigQuery 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 BigQuery 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 BigQuery 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 BigQuery ML.
Get a good introductory grounding in Google Cloud Platform, specific to BigQuery.
Learn the basics of applied machine learning.
Understand the history, architecture and use cases of BigQuery for machine learning engineers.
Learn how to building your own machine learning models at scale using BigQuery.
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 BigQuery and harness the benefits of GCP's fully managed data warehousing service.
Who this course is for:
- If you're interested in learning how to build real-world models at scale, this course is for you
- If you want to learn the most used service on GCP, this course is for you
- If you want to learn why so many machine learning engineers use BigQuery, this course is for you
Instructor
- 4.3 Instructor Rating
- 21,421 Reviews
- 249,716 Students
- 50 Courses
I'm the founder of LogikBot. I've worked at Microsoft and Uber. I helped design courses for Microsoft's Data Science Certifications. If you're interested in machine learning, I can help.
I've worked with databases for over two decades. I've worked for or consulted with over 50 different companies as a full time employee or consultant. Fortune 500 as well as several small to mid-size companies. Some include: Georgia Pacific, SunTrust, Reed Construction Data, Building Systems Design, NetCertainty, The Home Shopping Network, SwingVote, Atlanta Gas and Light and Northrup Grumman.
Over the last five years I've transitioned to the exciting world of applied machine learning. I'm excited to show you what I've learned and help you move into one of the single most important fields in this space.
Experience, education and passion
I learn something almost every day. I work with insanely smart people. I'm a voracious learner of all things SQL Server and I'm passionate about sharing what I've learned. My area of concentration is performance tuning. SQL Server is like an exotic sports car, it will run just fine in anyone's hands but put it in the hands of skilled tuner and it will perform like a race car.
Certifications
Certifications are like college degrees, they are a great starting points to begin learning. I'm a Microsoft Certified Database Administrator (MCDBA), Microsoft Certified System Engineer (MCSE) and Microsoft Certified Trainer (MCT).
Personal
Born in Ohio, raised and educated in Pennsylvania, I currently reside in Atlanta with my wife and two children.