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

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Apache Spark: A fast processing engine that supports both batch and real-time analytics, making it suitable for a wide range of applications. Frequently Asked Questions What is the Role of Data Processing Frameworks in Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Apache Spark: A fast processing engine that supports both batch and real-time analytics, making it suitable for a wide range of applications. Frequently Asked Questions What is the Role of Data Processing Frameworks in Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

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

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. Duplicate texts naturally tend to fall into the same clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 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

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., More specifically, embeddings enable neural networks to consume training data in formats that allow extracting features from the data, which is particularly important in tasks such as natural language processing (NLP) or image recognition.

ML 52

ML ML Machine Learning Machine Learning 52