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Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning

Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. In this post, we illustrate how to handle OOC by utilizing the power of the IMDb dataset (the premier source of global entertainment metadata) and knowledge graphs.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning

You can place the data in any folder of your choice, as long as the path is consistently referenced in the training script and has access enabled. script converts NumPy arrays into Torch tensors, as shown in the following code snippet. Import the data loader into the training script. Note that FedML provides dataset.py

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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Next, you need to create a Python script to run the Iceberg procedures. Click Save.

Scripts 85
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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline.

Scripts 102
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Is it time to reassess your QA function?

Tethr

Today, most companies are using some sort of speech analytics technology to handle QA, but is it enough? Script adherence Proper greeting Required closing Compliance (proper authentication, retrieval of account number, disclosure statement) Skills & behaviors (professionalism, empathy, subject matter expertise, confidence, friendliness).

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

AWS Machine Learning

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. In the Spark script, use the system executable command to run pip install , install this library in your local environment, and get the local path of the JAR file dependency.

APIs 86