Applying Machine Learning to your Data with GCP
- 4.7
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Approx. 10 hours to complete
Course Summary
This course on Coursera, Data Insights with Google Cloud Platform, is designed to teach learners how to use Google Cloud Platform to build and train machine learning models, and to use those models to analyze data and gain insights.Key Learning Points
- Learn to use Google Cloud Platform to build and train machine learning models
- Gain insights from data using machine learning models
- Apply your knowledge to real-world business problems
Job Positions & Salaries of people who have taken this course might have
- USA: $62,453
- India: ₹4,50,000
- Spain: €29,000
- USA: $62,453
- India: ₹4,50,000
- Spain: €29,000
- USA: $112,739
- India: ₹8,60,000
- Spain: €52,000
- USA: $62,453
- India: ₹4,50,000
- Spain: €29,000
- USA: $112,739
- India: ₹8,60,000
- Spain: €52,000
- USA: $119,000
- India: ₹9,00,000
- Spain: €44,000
Related Topics for further study
Learning Outcomes
- Build machine learning models using Google Cloud Platform
- Analyze data and gain insights using machine learning models
- Apply your knowledge to real-world business problems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming concepts
- Familiarity with Python programming language
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Hands-on exercises
Similar Courses
- Applied Data Science with Python
- Data Science Essentials
Related Education Paths
- Google Cloud Certified - Professional Data Engineer
- Google Cloud Certified - Associate Cloud Engineer
Related Books
Description
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
Outline
- Introduction
- Course Introduction
- Qwiklabs Overview
- Introduction to Machine Learning
- Introduction to Machine Learning
- Demo: Google Photos
- What is deep learning?
- ML Applications for Business
- ML Terms: Instances, Features, Labels
- The Spectrum of ML Tools
- Pre-trained ML APIs
- Pre-Trained ML Models
- Demo: Cloud Translate and Vision APIs
- Demo: Natural Language Processing API
- Collaborative Notebooks in the Cloud
- Demo: Cloud Datalab with BigQuery and Google Analytics
- Accessing BigQuery datasets from Cloud Datalab
- Visualizing Datasets in Charts
- Cloud AI Platform Notebooks
- Notebooks in the Cloud
- Creating ​ML Datasets in BigQuery
- What makes a dataset good for ML?
- Choosing good features
- Exploring and Preprocessing Data
- Demo: Exploring and Preprocessing Data
- Other Tools for Creating Data Pipelines
- Knowing the Unknowable
- Creating Repeatable Dataset Splits
- Lab Solution: Creating Repeatable Dataset Splits
- Intro to Machine Learning
- Creating ML Models in BigQuery
- Introducing BigQuery Machine Learning
- Phases of Model Building
- Demo: Predicting Taxi Cab Fare
- Demo: Creating a Classification Model
- Lab Intro: Predicting Visitor Return Purchases with BigQuery
- Lab Solution: Predicting Visitor Return Purchases in BigQuery
- Demo: AutoML Tables
- BigQuery ML Resources
- AutoML Tables
- End of Course Recap
- Course Summary
Summary of User Reviews
Discover how to apply machine learning to data insights using GCP with this top-rated course on Coursera. Students praise the practical approach of the course that allows them to apply the concepts they learned to real-world scenarios.Key Aspect Users Liked About This Course
Practical approach that allows students to apply the concepts to real-world scenariosPros from User Reviews
- The course covers a wide range of machine learning concepts and techniques
- The instructors are knowledgeable and engaging
- The course is well-structured and easy to follow
- The hands-on exercises and projects are challenging and interesting
- The course materials and resources are comprehensive and helpful
Cons from User Reviews
- Some students feel that the course is too basic and lacks depth
- The pace of the course might be too slow for some students
- The course requires a good understanding of programming and statistics
- The course focuses mainly on GCP and might not be suitable for students interested in other cloud platforms
- Some students feel that the course is too expensive compared to other online courses
Google Cloud Training
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