AWS Certified Machine Learning-Specialty

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5:37:19

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01 - AWS Certified Machine Learning-Specialty (ML-S) Introduction.mp4

02:05

02 - Learning objectives.mp4

01:13

03 - 1.1 Get an overview of the certification.mp4

05:55

04 - 1.2 Use exam study resources.mp4

02:56

05 - 1.3 Review the exam guide.mp4

10:45

06 - 1.4 Learn the exam strategy.mp4

02:47

07 - 1.5 Learn the best practices of ML on AWS.mp4

03:33

08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4

02:54

09 - 1.7 Understand important ML related services.mp4

22:43

10 - Learning objectives.mp4

01:09

11 - 2.1 Learn data ingestion concepts.mp4

23:15

12 - 2.2 Using data cleaning and preparation.mp4

05:36

13 - 2.3 Learn data storage concepts.mp4

07:20

14 - 2.4 Learn ETL solutions (Extract-Transform-Load).mp4

12:55

15 - 2.5 Understand data batch vs data streaming.mp4

03:36

16 - 2.6 Understand data security.mp4

05:12

17 - 2.7 Learn data backup and recovery concepts.mp4

06:44

18 - Learning objectives.mp4

00:56

19 - 3.1 Understand data visualization Overview.mp4

07:19

20 - 3.2 Learn Clustering.mp4

05:10

21 - 3.3 Use Summary Statistics.mp4

03:35

22 - 3.4 Implement Heatmap.mp4

01:43

23 - 3.5 Understand Principal Component Analysis (PCA).mp4

02:57

24 - 3.6 Understand data distributions.mp4

03:18

25 - 3.7 Use data normalization techniques.mp4

03:36

26 - Learning objectives.mp4

00:48

27 - 4.1 Understand AWS ML Systems Overview (Sagemaker, AWS ML, EMR, MXNet).mp4

16:26

28 - 4.2 Use Feature Engineering.mp4

10:43

29 - 4.3 Train a Model.mp4

03:45

30 - 4.4 Evaluate a Model.mp4

05:04

31 - 4.5 Tune a Model.mp4

02:45

32 - 4.6 Understand ML Inference.mp4

05:01

33 - 4.7 Understand Deep Learning on AWS.mp4

09:36

34 - Learning objectives.mp4

01:05

35 - 5.1 Understand ML operations Overview.mp4

06:06

36 - 5.2 Use Containerization with Machine Learning and Deep Learning.mp4

07:31

37 - 5.3 Implement continuous deployment and delivery for Machine Learning.mp4

05:45

38 - 5.4 Understand A B Testing production deployment.mp4

02:38

39 - 5.5 Troubleshoot production deployment.mp4

05:21

40 - 5.6 Understand production security.mp4

06:43

41 - 5.7 Understand cost and efficiency of ML systems.mp4

07:23

42 - Learning objectives.mp4

00:49

43 - 6.1 Create Machine Learning Data Pipeline.mp4

09:03

44 - 6.2 Perform Exploratory Data Analysis using AWS Sagemaker.mp4

06:31

45 - 6.3 Create Machine Learning Model using AWS Sagemaker.mp4

07:19

46 - 6.4 Deploy Machine Learning Model using AWS Sagemaker.mp4

09:16

47 - Learning objectives.mp4

00:54

48 - 7.1 Sagemaker Features.mp4

25:27

49 - 7.2 DeepLense Features.mp4

10:48

50 - 7.3 Kinesis Features.mp4

06:46

51 - 7.4 AWS Flavored Python.mp4

05:15

52 - 7.5 Cloud9.mp4

08:40

53 - AWS Certified Machine Learning-Specialty (ML-S) Summary.mp4

00:39

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