AWS Certified Machine Learning Study Guide. Shreyas SubramanianЧитать онлайн книгу.
15 Index
List of Tables
1 Chapter 1TABLE 1.1 Various features of SageMaker corresponding to the different phase...
2 Chapter 2TABLE 2.1 AWS Lambda limits
3 Chapter 5TABLE 5.1 Table of housing data
4 Chapter 8TABLE 8.1 Services relevant to an end-to-end machine learning workflow that ...
List of Illustrations
1 Chapter 1FIGURE 1.1 Document analysis with human review flowFIGURE 1.2 Flow showing how to translate customer service calls followed by ...FIGURE 1.3 The AppointmentBot can be built using Amazon Lex and backend ...FIGURE 1.4 The end-to-end flow with Amazon Personalize (text on top) and how...
2 Chapter 2FIGURE 2.1 Pattern for using FSx for Lustre with Amazon SageMaker for traini...FIGURE 2.2 Architecture showing the use of VPC endpoints to connect to vario...FIGURE 2.3 An example ML pipeline constructed using step functions that orch...
3 Chapter 3FIGURE 3.1 Diagram showing the phases of the machine learning lifecycle
4 Chapter 5FIGURE 5.1 Various data sources you can use with AWS Data Pipeline to land d...FIGURE 5.2 Various data sources you can use with AWS DMS to land data in S3...FIGURE 5.3 Conceptual diagram of Kinesis Data StreamsFIGURE 5.4 Conceptual diagram of Kinesis Data Firehose showing how data can ...FIGURE 5.5 Diagram showing streaming data flow pattern for Kinesis Data Anal...
5 Chapter 6FIGURE 6.1 Diagram showing SageMaker Ground Truth data labeling toolFIGURE 6.2 Diagram showing AWS Glue as an ETL tool
6 Chapter 7FIGURE 7.1 Diagram showing how you can deal with skewed distributions using ...FIGURE 7.2 Diagram showing how you backtest on time series data
7 Chapter 8FIGURE 8.1 Linear regression example. The error terms shown by the vertical ...FIGURE 8.2 Example showing lack of constant variance. The error terms shown ...FIGURE 8.3 Example showing violation of linearity assumptionFIGURE 8.4 SVM conceptual example showing the separatrix by the solid line a...FIGURE 8.5 You can use a kernel SVM to separate the points. Although they cl...FIGURE 8.6 Sequential learning of XGBoost to combine many weak learners into...FIGURE 8.7 Possible output of a clustering analysis that splits data into th...FIGURE 8.8 Elbow curve analysis of PCA to determine optimal number of cluste...FIGURE 8.9 Values of N1 and N2 explored with grid searchFIGURE 8.10 Values of N1 and N2 explored with random search
8 Chapter 9FIGURE 9.1 Data from a toy two-class classification problemFIGURE 9.2 Example SVM hyperplane separating the two classes of dataFIGURE 9.3 Example ROC curveFIGURE 9.4 Example showing comparison of two ROC curves by calculating the A...FIGURE 9.5 Example precision vs. recall curve
9 Chapter 10FIGURE 10.1 SageMaker real-time endpoints under the hoodFIGURE 10.2 SageMaker Batch transform under the hoodFIGURE 10.3 Re-create strategy showing how to stop endpoint A and start endp...FIGURE 10.4 Ramped strategy showing how to gradually shift from endpoint A t...
10 Chapter 11FIGURE 11.1 Typical architecture for connecting Amazon API Gateway to AWS La...
11 Chapter 12FIGURE 12.1 Diagram showing the ML workflow with different ways you can use ...FIGURE 12.2 Diagram showing a typical CI/CD workflow that can be used as par...
12 Chapter 13FIGURE 13.1 Diagram showing the AWS shared responsibility model. Understand ...FIGURE 13.2 Diagram showing tag-based controls that can be applied using att...FIGURE 13.3 Authentication flow using SAML 2.0 to access the AWS consoleFIGURE 13.4 Different IAM roles applicable to SageMakerFIGURE 13.5 Private network traffic to SageMaker Studio
Guide
1 Cover
11 Appendix Answers to the Review Questions
12 Index
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