Applied Machine Learning with BigQuery on Google Cloud
Gain a strong foundation in Google Cloud Platform, specific to BigQuery, and learn to build machine learning models at scale
Machine Learning,Development,Data Science
Lectures -48
Duration -2 hours
30-days Money-Back Guarantee
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
Course Description
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 the 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-premises boxes. In the real world, we don’t build models on laptops or on desktop computers.
Google Cloud Platform’s Big Query is a server less, 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.
This course covers the basics of applied machine learning and an introduction to Big Query ML. You will also learn how to build your own machine learning models at scale using Big Query.
By the end of this course, you will be able to harness the benefits of GCP’s fully managed data warehousing service.
All resources to this course are placed here: https://github.com/PacktPublishing/Applied-Machine-Learning-with-BigQuery-on-Google-s-Cloud
Audience :
If you’re interested in building real-world models at scale, using Big Query, and learning the most used service on GCP, this course is for you.
Goals
What will you learn in this course:
- Understand Big Query specific to machine learning
- Learn the basics of Google Cloud Platform, specific to Big Query
- Learn the basics of applied machine learning from a machine learning engineer
- Learn how to build machine learning models at scale using Big Query
- Introduction to Big Query ML
- Learn the basics of applied machine learning
Prerequisites
What are the prerequisites for this course?
- This is a mid-level course, and basic experience with SQL and Python will help you get the most out of this course.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
5 Lectures
- Introduction 02:37 02:37
- Section Introduction 02:30 02:30
- Scaling Out Instead of Up 01:33 01:33
- Google's Scaled Out Revolution 04:06 04:06
- Demo: Creating an Account on Google's Cloud Platform 04:23 04:23
BigQuery Basics
8 Lectures
An Introduction to Applied Machine Learning
10 Lectures
Machine Learning Libraries
7 Lectures
Classification and Regression
6 Lectures
Machine Learning with BigQuery
12 Lectures
Instructor Details
Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Course Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe nowOnline Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now