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Applying Machine Learning to your Data with GCP

Approx. 10 hours to complete

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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

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

Intermediate

Course Format

Online self-paced course
Video lectures
Hands-on exercises

Similar Courses

Applied Data Science with Python
Data Science Essentials

Related Education Paths

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 scenarios

Pros 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

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