Remove Apache Kafka Remove Data Lakes Remove Deep Learning
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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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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

To combine the collected data, you can integrate different data producers into a data lake as a repository. A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Data Cleaning The next step is to clean the data after ingesting it into the data lake.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

APIs Understanding how to interact with Application Programming Interfaces (APIs) to gather data from external sources. Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Once data is collected, it needs to be stored efficiently.