Pictures and Highlights from ODSC Europe 2023
ODSC - Open Data Science
JULY 22, 2023
Keynotes Our main keynote sessions were held on the virtual side of the conference.
ODSC - Open Data Science
JULY 22, 2023
Keynotes Our main keynote sessions were held on the virtual side of the conference.
ODSC - Open Data Science
JUNE 7, 2023
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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ODSC - Open Data Science
JULY 14, 2023
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.
AWS Machine Learning Blog
APRIL 19, 2023
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.
AWS Machine Learning Blog
JANUARY 6, 2023
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.
Pickl AI
AUGUST 9, 2024
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).
DagsHub
OCTOBER 23, 2024
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.
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