In this cheat sheet, you learn about how AWS services solve our problems/requirements. This cheat sheet will be helpful for the last-day revision for the AWS Certified Machine learning Speciality.
S.No. |
PROBLEM STATEMENT |
SOLUTION |
1 |
Build a real-time fraud detection system with the least number of components that also ensures ease of maintenance |
Ingest the clickstream data into Kinesis Data Streams, which is then written into Kinesis Data Analytics for real-time fraud detection using the Random Cut Forest Algorithm. A Lambda function sends an email alert for every fraud detected by the algorithm. The processed stream data is finally sent to Kinesis Data Firehose for subsequent storage in S3 |
1 |
Build a real-time fraud detection system with the least number of components that also ensures ease of maintenance |
Ingest the clickstream data into Kinesis Data Streams, which is then written into Kinesis Data Analytics for real-time fraud detection using the Random Cut Forest Algorithm. A Lambda function sends an email alert for every fraud detected by the algorithm. The processed stream data is finally sent to Kinesis Data Firehose for subsequent storage in S3 |
|
|
|
1 |
Build a real-time fraud detection system with the least number of components that also ensures ease of maintenance |
Ingest the clickstream data into Kinesis Data Streams, which is then written into Kinesis Data Analytics for real-time fraud detection using the Random Cut Forest Algorithm. A Lambda function sends an email alert for every fraud detected by the algorithm. The processed stream data is finally sent to Kinesis Data Firehose for subsequent storage in S3 |
MVP - Early Version of your product/service to get insights from your customers.
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