Cloud Google - VideoAndMovie

43 Course Summary

4:07

43 Course Summary

42 Summary

0:44

42 Summary

40 Lab introduction Predicting loan risk with AutoML

0:34

40 Lab introduction Predicting loan risk with AutoML

41 Lab recap Predicting loan risk with AutoML

3:01

41 Lab recap Predicting loan risk with AutoML

39 Model Deployment and Monitoring

3:46

39 Model Deployment and Monitoring

38 Model Evaluation

4:58

38 Model Evaluation

37 Model Training

3:59

37 Model Training

36 Data Preparation

3:23

36 Data Preparation

35 Introduction

5:34

35 Introduction

34 Summary

2:01

34 Summary

33 AI Solutions

2:21

33 AI Solutions

32 Vertex AI

3:51

32 Vertex AI

30 AutoML

6:54

30 AutoML

29 Pre built APIs

2:13

29 Pre built APIs

28 Options to build ML models

3:44

28 Options to build ML models

27 Introduction

2:18

27 Introduction

31 Custom Training

1:20

31 Custom Training

26 Summary

1:43

26 Summary

25 BigQuery ML key commands

3:26

25 BigQuery ML key commands

24 BigQuery ML project phases

2:02

24 BigQuery ML project phases

23 Using BigQuery ML to predict customer lifetime value

4:37

23 Using BigQuery ML to predict customer lifetime value

22 Introduction to BigQuery ML

4:25

22 Introduction to BigQuery ML

21 BigQuery demo San Francisco bike share

11:34

21 BigQuery demo San Francisco bike share

20 Storage and analytics

3:51

20 Storage and analytics

19 Introduction

5:30

19 Introduction

18 Summary of Second section

1:06

18 Summary of Second section

17 Lab introduction Creating a streaming data pipeline for a Real Time dashboard with Dataflow

0:53

17 Lab introduction Creating a streaming data pipeline for a Real Time dashboard with Dataflow

16 Visualization with Data Studio

1:28

16 Visualization with Data Studio

15 Visualization with Looker

3:00

15 Visualization with Looker

14 Implementing streaming pipelines on Cloud Dataflow

3:36

14 Implementing streaming pipelines on Cloud Dataflow