Google Cloud Platform Big Data and Machine Learning Fundamentals

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Google Cloud

4:55:21

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1. Introduction to the Data and Machine Learning on Google Cloud Course

1. Course Overview.mp4

00:10

2. Course Introduction.mp4

05:59

2. Introduction to Google Cloud Platform

01. Introduction to Google Cloud Platform.mp4

00:10

02. Introduction to Google Cloud Platform.mp4

03:52

03. Compute Power for Analytic and ML Workloads.mp4

09:41

04. Demo - Creating a VM on Compute Engine.mp4

13:58

05. Elastic Storage with Google Cloud Storage.mp4

06:34

06. Build on Googles Global Network.mp4

03:19

07. Security - On-premise vs Cloud-native.mp4

02:55

08. Evolution of Google Cloud Big Data Tools.mp4

05:04

09. Getting Started With GCP And Qwiklabs.mp4

03:48

10. Lab- Exploring a BigQuery Public Dataset.mp4

00:10

11. Choosing the Right Approach.mp4

05:52

12. What you can do with GCP.mp4

03:41

13. Activity - Explore a Customer Use Case.mp4

07:17

14. The Different Data Roles in an Organization.mp4

06:54

3. Recommending Products using Cloud SQL and Spark

01. Product Recommendations using Cloud SQL and Spark.mp4

00:10

02. How Businesses Use Recommendation Systems.mp4

06:31

03. Introduction to Machine Learning.mp4

05:52

04. ML for Recommending Housing Rentals.mp4

08:44

05. Move From On-Premise to Google Cloud Platform.mp4

09:44

06. Demo - From Zero to an Apache Spark Job in 10 Minutes or Less.mp4

06:20

07. Challenge- Utilizing and tuning on-premise clusters.mp4

06:05

08. Move storage off-cluster with Google Cloud Storage.mp4

04:54

09. Lab - Recommending Products Using Cloud SQL and Spark.mp4

02:07

10. Lab- Recommending Products Using Cloud SQL and Spark.mp4

00:10

4. Predict Visitor Purchases Using BigQuery ML

01. Predicting Visitor Purchases with Classification using BigQuery ML.mp4

00:10

02. Introduction to BigQuery.mp4

05:55

03. Demo - Query 2 Billion Lines of Code in Less Than 30 Seconds.mp4

11:02

04. BigQuery - Fast SQL Engine.mp4

04:13

05. Demo - Exploring Bike Share Data with SQL.mp4

11:38

06. Data Quality.mp4

04:35

07. BigQuery Managed Storage.mp4

05:15

08. Insights from Geographic Data.mp4

02:21

09. Demo - Analyzing Lightning Strikes with BigQuery GIS.mp4

07:01

10. Choosing a ML Model Type for Structured Data.mp4

04:54

11. Predicting Customer Lifetime Value.mp4

05:17

12. BigQueryML - Create Models with SQL.mp4

03:41

13. Phases in ML Model Lifecycle.mp4

02:32

14. BigQuery ML - Key Features Walkthrough.mp4

04:54

15. Lab- Predicting Visitor Purchases with a Classification Model with BigQuery ML.mp4

00:10

5. Real-time IoT Dashboards with Pub-Sub, Dataflow, and Data Studio

01. Real-time Dashboards with Pub_Sub, Dataflow, and Data Studio.mp4

00:10

02. Modern Data Pipeline Challenges.mp4

03:17

03. Message-oriented Architectures with Cloud Pub-Sub.mp4

06:10

04. Designing Streaming Pipelines with Apache Beam.mp4

03:44

05. Implementing Streaming Pipelines on Cloud Dataflow.mp4

03:11

06. Visualizing Insights with Data Studio.mp4

03:23

07. Creating Charts with Data Studio.mp4

02:42

08. Demo - Data Studio Walkthrough.mp4

07:09

09. Lab - Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow.mp4

01:13

10. Lab- Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow.mp4

00:10

6. Deriving Insights from Unstructured Data using Machine Learning

01. Deriving Insights from Unstructured Data using Machine Learning.mp4

00:10

02. Where is Unstructured ML used in business-.mp4

04:17

03. How Does ML on Unstructured Data Work-.mp4

03:17

04. Demo - ML built into Google Photos.mp4

01:36

05. Comparing Approaches to ML.mp4

02:51

06. Demo - Using ML Building Blocks.mp4

07:09

07. Using Pre-built AI to Create a Chatbot.mp4

04:59

08. Customizing Pre-built Models with AutoML.mp4

07:14

09. Lab - Classifying Images of Clouds in the Cloud with AutoML Vision.mp4

00:22

10. Lab- Classifying Images of Clouds in the Cloud with AutoML Vision.mp4

00:10

11. Building a Custom Model.mp4

01:17

12. Demo - Text Classification Done Three Ways.mp4

21:58

7. Summary

1. Summary.mp4

00:10

2. Course Summary.mp4

05:03

Description

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

What You'll Learn?

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Machine Learning

Google Cloud

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Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.