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.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Data source overview Amazon Q Business uses large language models (LLMs) to build a unified solution that connects multiple data sources. Typically, you’d need to use a natural language processing (NLP) technique called Retrieval Augmented Generation (RAG) for this. I am currently using Apache Kafka.

AWS 124

AWS Apache Kafka Data Scientist Database Administration 124

Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. To ascertain the general sentiment and deal with any potential problems, use natural language processing (NLP) tools.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

DECEMBER 2, 2024

Natural Language Processing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Natural Language Processing (NLP): NLP techniques analyse textual data from sources like customer reviews or social media posts to derive sentiment analysis or topic modelling. In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

DagsHub

OCTOBER 23, 2024

Data Processing Tools These tools are essential for handling large volumes of unstructured data. They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats. It allows unstructured data to be moved and processed easily between systems.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

JANUARY 14, 2025

It's a highly popular technique in natural language processing where we transform words into dense vector representations in a high-dimensional space, where semantic similarities are captured by the spatial relationships between these vectors. Tools like Apache Kafka and Apache Flink can be configured for this purpose.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52