Remove Clustering Remove Deep Learning Remove Natural Language Processing
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Was ist eine Vektor-Datenbank? Und warum spielt sie für AI eine so große Rolle?

Data Science Blog

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. der k-Nächste-Nachbarn -Prädiktionsalgorithmus (Regression/Klassifikation) oder K-Means-Clustering.

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t-SNE (t-distributed stochastic neighbor embedding)

Dataconomy

Researchers, data scientists, and machine learning practitioners alike have embraced t-SNE for its effectiveness in transforming extensive datasets into visual representations, enabling a clearer understanding of relationships, clusters, and patterns within the data.

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Techniques for Data Scientists to Upskill with Large Language Models

Data Science Dojo

Natural Language Processing (NLP): Data scientists are incorporating NLP techniques and technologies to analyze and derive insights from unstructured data such as text, audio, and video. It is widely used for building and training machine learning models, particularly neural networks. H2O.ai: – H2O.ai

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Exploring the intricacies of deep learning models

Dataconomy

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

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Monitoring of Jobskills with Data Engineering & AI

Data Science Blog

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER).

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Clustering (Unsupervised). With Clustering the data is divided into groups. By applying clustering based on distance, the villages are divided into groups. The center of each cluster is the optimal location for setting up health centers. The center of each cluster is the optimal location for setting up health centers.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.