Understanding Embeddings for Natural Language Processing

Gain a basic understanding of how numerical representations transform language! Explore the world of text embeddings in this online course, covering essential topics such as tokenization, historical models, modern techniques, and practical applications.

It's free of charge and no prior AI experience is necessary.

Desde diciembre 17, 2023 en modo autodidacta
Idioma: English
Beginner, Big Data and AI, Data Science

Información del curso

In Natural Language Processing, embeddings are the keys that open the door for algorithms to process and understand the meaning of words or text, facilitating more effective language-based tasks such as sentiment analysis, language translation, and document similarity.

In this course we can help you to understand better what embeddings are, what they are useful for, and how they have developed over time. We will also talk about how to store and work with embeddings by using vector databases.

As a complement to this course, the KI-Servicezentrum Berlin Brandenburg (KISZ-BB) offers regularly a presential hands-on workshop that applies in a practical way all the knowledge from this course, using the example of semantic search. If you would like to participate in the workshop, you can check our events or subscribe to our newsletter and get regular information about workshops and other educational offers.

KISZ funded by Bundesministerium für Bildung und Forschung

Lo que aprenderá

  • AI
  • Embeddings
  • Natural Language Processing

Matricularme en este curso

El curso es gratuito. Solo tiene que crear una cuenta en openHPI ¡y ya puede hacer el curso!
Matricularme ahora
Learners enrolled: 1568

Requisitos para el certificado

  • Obtenga una confirmación de participación al completar al menos el 50% del material del curso.

Para saber más, consulte la guía de certificados.

Curso impartido por

Mario Tormo Romero

Mario Tormo Romero is an AI Engineer / Senior Data Scientist with a Master's degree in Physics and Mathematics, with over 30 years of programming experience. He studied at the Universidad de Valencia (Estudi General), Spain, and the Freie Universität Berlin, Germany, and has been working in the field of Data Science and AI for the past 5 years, on various roles such as Data Scientist, AI Engineer, MLOps Engineer, and Technical Project Manager. He has worked in diverse industries, including Healthcare, Real Estate and Social Media.