Remove 2013 Remove Clustering Remove Data Analysis
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Meet the winners of the Unsupervised Wisdom Challenge!

DrivenData Labs

Solvers submitted a wide range of methodologies to this end, including using open-source and third party LLMs (GPT, LLaMA), clustering (DBSCAN, K-Means), dimensionality reduction (PCA), topic modeling (LDA, BERT), sentence transformers, semantic search, named entity recognition, and more. and DistilBERT.

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Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance.

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Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance.

Tableau 98
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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Apache Hadoop Apache Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Statistics Kafka handles over 1.1