Google Cloud Platform Big Data and Machine Learning Fundamentals

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Google Cloud

4:55:50

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01 - Course Overview

01 - Course Introduction.mp4

05:59

02 - Getting Started with Google Cloud Platform and Qwiklabs.mp4

03:48

02 - Introduction to Google Cloud Platform

03 - Module 1- Introduction to Google Cloud Platform.mp4

00:10

04 - Introduction to Google Cloud Platform.mp4

03:52

05 - Compute Power for Analytic and ML Workloads.mp4

09:41

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

13:58

07 - Elastic Storage with Google Cloud Storage.mp4

06:34

08 - Build on Googles Global Network.mp4

03:19

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

02:55

10 - Evolution of Google Cloud Big Data Tools.mp4

05:04

11 - Lab - Explore a BigQuery Public Dataset.mp4

00:10

12 - Choosing the Right Approach.mp4

05:52

13 - What you an do with GCP.mp4

03:41

14 - Activity - Explore a Customer Use Case.mp4

07:17

15 - The Different Data Roles in an Organization.mp4

06:54

03 - Recommending Products using Cloud SQL and Spark

16 - Module 2 - Recommending Products using Cloud SQL and Spark.mp4

00:10

17 - How Businesses Use Recommendation Systems.mp4

06:31

18 - Introduction to Machine Learning.mp4

05:52

19 - ML for Recommending Housing Rentals.mp4

08:44

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

09:50

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

06:20

22 - Utilizing and Tuning On-Premise Clusters.mp4

06:05

23 - Move Storage Off-Cluster with Google Cloud Storage.mp4

04:54

24 - Lab - Recommend Products Using Cloud SQL and SparkML.mp4

02:07

25 - Lab - Recommend Products using ML with Cloud SQL and Dataproc.mp4

00:10

04 - Predict Visitor Purchases Using BigQuery ML

26 - Module 3 - Predict Visitor Purchases Using BigQuery ML.mp4

00:10

27 - Introduction to BigQuery.mp4

05:55

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

11:02

29 - BigQuery - Fast SQL Engine.mp4

04:13

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

11:38

31 - Data Quality.mp4

04:35

32 - BigQuery Managed Storage.mp4

05:16

33 - Insights from Geographic Data.mp4

02:21

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

07:01

35 - Choosing a ML Model Type for Structured Data.mp4

04:54

36 - Predicting Customer Lifetime Value.mp4

05:17

37 - BigQueryML - Create Models with SQL.mp4

03:41

38 - Phases in ML Model Lifecycle.mp4

02:32

39 - BigQuery ML - Key Features Walkthrough.mp4

05:26

40 - Lab - Predict Visitor Purchases with a Classification Model with BigQuery ML.mp4

00:10

05 - Create Streaming Data Pipelines

41 - Module 4 - Create Streaming Data Pipelines .mp4

00:10

42 - Modern Data Pipeline Challenges.mp4

03:17

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

06:10

44 - Designing Streaming Pipelines with Apache Beam.mp4

03:44

45 - Implementing Streaming Pipelines on Cloud Dataflow.mp4

03:11

46 - Visualizing Insights with Data Studio.mp4

03:23

47 - Creating Charts with Data Studio.mp4

02:42

48 - Demo - Data Studio Walkthrough.mp4

07:09

49 - Lab - Real-time IoT Dashboards.mp4

01:13

50 - Lab - Create a Streaming Data Pipeline.mp4

00:10

06 - Classify Images

51 - Module 5 - Classify Images .mp4

00:10

52 - Where is Unstructured ML used in business.mp4

04:17

53 - How Does ML on Unstructured Data Work.mp4

03:17

54 - Demo - ML built into Google Photos.mp4

01:36

55 - Comparing Approaches to ML.mp4

02:51

56 - Demo - Using ML Building Blocks.mp4

07:09

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

04:59

58 - Customizing Pre-built Models with AutoML.mp4

07:14

59 - Lab - Classify Images with Pre-built ML Models.mp4

00:22

60 - Lab - Classify Images with Pre-built ML.mp4

00:10

61 - Building a Custom Model.mp4

01:17

62 - Demo - Text Classification Done Three Ways.mp4

21:58

07 - Summary

63 - Module 6 - Summary.mp4

00:10

64 - Course Summary.mp4

05:03

Description

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

What You'll Learn?

This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

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Machine Learning

Big Data

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.