Applying Machine Learning to your Data with GCP
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Applying Machine Learning to your Data with GCP at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Applying Machine Learning to your Data with GCP at Coursera Highlights
- 67% started a new career after completing these courses.
- 55% got a tangible career benefit from this course.
- 12% got a pay increase or promotion.
- Earn a shareable certificate upon completion.
Applying Machine Learning to your Data with GCP at Coursera Course details
- 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.
- PREREQUISITES
- To get the most out of this course, participants must complete the prior courses in this specialization:
- ? Exploring and Preparing your Data
- ? Storing and Visualizing your Data
- ? Architecture and Performance
- >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Applying Machine Learning to your Data with GCP at Coursera Curriculum
Introduction
Course Introduction
Qwiklabs Overview
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
Introduction to Machine Learning
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
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
BigQuery ML
Course Summary
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