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Machine Learning Review
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Machine Learning Review
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25 Questions

1. With PCA, the reduced dimensions are called components. The first component has the largest ______... the second is the next largest...

2. S3 can be set to ___________ data as part of it's lifecycle policy

3. __________ plot the true positive rate (recall) vs. false positive rate at various treshold settings

4. AWS Rekognition videos can come from Kinesis _______ Streams

5. You have to provision read/write capacity with __________

6. ______ = True Positives / (True Positives + False Negatives)

7. The important hyperparameters for K-Means are ___, mini_batch_size, extra_center_factor, and Init_method

8. AWS _______________ is a test analysis / topic modeling service that can classify text by topic and sentiment

9. AWS _____________ has a Glue scheduler to schedule jobs OR the jobs can be automated to run based on events

10. _________ training communication may be optionally encrypted with SageMaker (but will cost $ and time)

11. ________ lets you pick between 3 algorithms (fully-convolution network (FCN), Pyramid Scene Parsing (PSP), and DeepLabV3

12. An _______________________________ uses multiple models and lets them vote on a final result

13. IP Insights expects to see user names and account IDs, which can be fed in directly (no need to ________)

14. _________ Security includes IAM policies, Kerberos, SSH, and IAM roles

15. These are the tools that sit on top of _________________

16. xGBoost ____ hyperparameter, which corresponds with the step size shrinkage (prevents overfitting)

17. K-Means expects a ____ channel and an optional ____ channel

18. Machine learning is well-suited for _____ processors

19. EMR nodes are just clusters of ___________

20. __________ is good for genre predictions, and recommendations.

21. __________ is an AWS service used for indexing data

22. IAM _______ are assigned to SageMaker to give it permissions to access resources

23. ______________ is built to handle the entire machine learning workflow

24. _______ uses a neural network to learn latent vector representations of entities and IP addresses

25. ____________ assigns one or more labels to an image, but not where the images are (like Image Detection)

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