ODSC - Open Data Science

APRIL 24, 2023

Botnet Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Editor’s note: Ori Nakar is a speaker for ODSC Europe this June. Be sure to check out his talk, “ Botnet detection at scale — Lesson learned from clustering billions of web attacks into botnets ,” there!

Clustering 52

Clustering SQL Algorithm Data Science 52

DagsHub

NOVEMBER 11, 2024

Word2Vec , GloVe , and BERT are good sources of embedding generation for textual data. These capture the semantic relationships between words, facilitating tasks like classification and clustering within ETL pipelines. This will ensure the data is in an ideal structure for further analysis.

AI 52

AI AI Data Lakes Database 52

Pickl AI

AUGUST 9, 2024

Big Data Technologies and Tools A comprehensive syllabus should introduce students to the key technologies and tools used in Big Data analytics. Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

The MLOps Blog

MARCH 21, 2023

Orchestrators are concerned with lower-level abstractions like machines, instances, clusters, service-level grouping, replication, and so on. Along with the schedulers, they are integral to managing the regular workflows your data scientists run and how the tasks in those workflows communicate with the ML platform.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

JANUARY 5, 2023

A lot of the time, search engines are being shown like just pass some images through a pre-trained network, and then the features coming out of it will cluster this data sample, and that’s true, but if it clusters the way you think it should be, that is another story, right? How self-supervised learning works.

Machine Learning 52

Machine Learning Machine Learning Database ML 52