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Can we identify 3-D images using very little training data?

Insight

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. I have expertise in data science, plus adjacent fields such as cloud computing, software architecture, natural language, data management… So I should have a good working knowledge about the topic – but I didn’t. Introduction.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes.

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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

This example shows how to use this mechanism. Additionally, it provides a pattern creating a proxy that can easily be integrated into solutions built in languages other than Java. In this post, we aim to address this issue and present how you can use Amazon API Gateway and AWS Lambda to navigate around this obstacle.

Testing 93
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Unstructured data management and governance using AWS AI/ML and analytics services

AWS Big Data

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

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Exploring FIBO Using the Inference and Property Path Features of GraphDB

Ontotext

FIBO Overview. FIBO contains the entities and associations that describe the information needed to build, extend and integrate financial business applications. Introduction. An ontology or a knowledge graph of any appreciable size requires some effort on the part of the consumer before it becomes a useful tool.

Finance 59
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Build incremental data pipelines to load transactional data changes using AWS DMS, Delta 2.0, and Amazon EMR Serverless

AWS Big Data

This post demonstrates how to implement a solution that uses AWS DMS to stream ongoing replication or change data capture (CDC) from an Amazon Aurora PostgreSQL-Compatible Edition database into Amazon Simple Storage Service (Amazon S3). Incremental data is generated in the PostgreSQL table by running custom SQL scripts.