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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

Data ingestion and extraction Evaluation reports are prepared and submitted by UNDP program units across the globe—there is no standard report layout template or format. The data ingestion and extraction component ingests and extracts content from these unstructured documents.

ML 82
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First ODSC Europe 2023 Sessions Announced

ODSC - Open Data Science

Learn about the flow, difficulties, and tools for performing ML clustering at scale Ori Nakar | Principal Engineer, Threat Research | Imperva Given that there are billions of daily botnet attacks from millions of different IPs, the most difficult challenge of botnet detection is choosing the most relevant data.

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Unfolding the Details of Hive in Hadoop

Pickl AI

These work together to enable efficient data processing and analysis: · Hive Metastore It is a central repository that stores metadata about Hive’s tables, partitions, and schemas. It applies the data structure during querying rather than data ingestion.

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Boost your forecast accuracy with time series clustering

AWS Machine Learning Blog

For an example of clustering based on this metric, refer to Cluster time series data for use with Amazon Forecast. In this post, we generate features from the time series dataset using the TSFresh Python library for data extraction.

Python 96