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Pictures and Highlights from ODSC Europe 2023

ODSC - Open Data Science

Keynotes Our main keynote sessions were held on the virtual side of the conference.

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All of the Free Virtual Sessions Coming to ODSC Europe 2023

ODSC - Open Data Science

Wednesday, June 14th Me, my health, and AI: applications in medical diagnostics and prognostics: Sara Khalid | Associate Professor, Senior Research Fellow, Biomedical Data Science and Health Informatics | University of Oxford Iterated and Exponentially Weighted Moving Principal Component Analysis : Dr. Paul A.

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Watch the Top ODSC Europe 2023 Virtual Sessions Here

ODSC - Open Data Science

The session participants will learn the theory behind compound sparsity, state-of-the-art techniques, and how to apply it in practice using the Neural Magic platform. You’ll also discuss different popular large language models and compare the techniques and accuracy of results among different large language models.

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

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How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize

AWS Machine Learning Blog

Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK). Amazon MSK makes it easy to ingest and process streaming data in real time with fully managed Apache Kafka.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Unsupervised Learning Exploring clustering techniques like k-means and hierarchical clustering, along with dimensionality reduction methods such as PCA (Principal Component Analysis).

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Tabular Data Extraction Deep learning models can extract structured information from unstructured sources, such as PDFs and images, into tabular formats.