Word Embeddings
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Products and services for "Word Embeddings"

Image for Deep Natural Language Processing | Einstieg in Word Embedding | HANSER Fachbuch | 978-3-446-47363-8 | edv-buchversand.de
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Deep Natural Language Processing | Einstieg in Word Embedding | HANSER Fachbuch | 978-3-446-47363-8 | edv-buchversand.de

Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | Verlag | HANSER Fachbuch | Autor:in | Jochen Hirschle (2) | Fassung | 248 Seiten, Hardcover | Erschienen | 04/2022 | ISBN | 978-3-446-47363-89783446473638 | Buch | eBook (PDF) | Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | eBook (PDF) | Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | eBook (PDF) | Im Fokus stehen insbesondere folgende Verfahren: | Aus dem Inhalt | Wer hat’s geschrieben? | Wer hat's geschrieben? | Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | Verlag | HANSER Fachbuch | Autor:in | Jochen Hirschle (2) | Fassung | 248 Seiten, Hardcover | Erschienen | 04/2022 | ISBN | 978-3-446-47363-89783446473638 | Buch | eBook (PDF) | Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | eBook (PDF) | Deep Natural Language Processing | Einstieg in Word Embedding | Sequence-to-Sequence-Modelle und Transformer mit Python | eBook (PDF)

by EDV-Buchversand

8 companies for "Word Embeddings"

Prodigy's Logo

Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. Prodigy brings together state-of-the-art insights from machine learning and user experience. The web application is powerful, extensible and follows modern UX principles.

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Image for A/B Evaluation · Prodigy · An annotation tool for AI, Machine Learning & NLP

A/B Evaluation · Prodigy · An annotation tool for AI, Machine Learning & NLP

... Example: Evaluate contextually-keyed word embeddings ...

EDV-Buchversand's Logo

Gemarkung Remscheid, Germany

11-50 Employees

1987

Seit über 30 Jahren schafft das Unternehmen Vertrauen in einer digitalen Gesellschaft. Deshalb stellen Sie sich eine Zukunft vor, in der niemand einen ernsthaften Schaden durch einen Cyberangriff erleiden sollte. Power PDF 5 Advanced ist eine leistungsstarke und benutzerfreundliche PDF-Software, die speziell für Unternehmen entwickelt wurde. Mit dieser Lösung können Unternehmen PDF-Dateien erstellen, bearbeiten, konvertieren und teilen. Microsoft bietet eine breite Palette an Desktop- und Server-Produkten für Unternehmen an.

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Image for Deep Natural Language Processing | Einstieg in Word Embedding | HANSER Fachbuch | 978-3-446-47363-8 | edv-buchversand.de

Deep Natural Language Processing | Einstieg in Word Embedding | HANSER Fachbuch | 978-3-446-47363-8 | edv-buchversand.de

... Deep Natural Language Processing | Einstieg in Word Embedding | HANSER Fachbuch | 978-3-446-47363-8 | edv-buchversand. ...

DataJenius's Logo

United States

1-10 Employees

2017

Introduction An estimated 80% of all organizational data is unstructured text. Despite this, even among data savvy organizations, most of it goes completely ignored. Just toss it in a standard scaler, throw it at a model, and see what happens. You may not get good results, but you’ll get something, […]. When generating text using the GPT-2 Large model, we found that both the method of generation, and text prompt used, have a statistically significant effect on on the output produced.

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Image for Data Jenius – the human side of machine learning

Data Jenius – the human side of machine learning

... Word Embeddings For each token in word2vec's vocabulary, we have a 300-dimension word embedding, a vector with a series of 300 numbers. [latexpage] \[\vec{skywalker} = \begin{bmatrix}0.105957031\\0.04296875\\0.0810546875\\...\\0.171875\end{bmatrix}\] For special ...

SKOPOS ELEMENTS's Logo

Hürth, Germany

1-10 Employees

2020

Erkenntnisse statt Datensilos – Wir bieten einen Einstieg! In unserer fünfteiligen Webinar-Reihe dreht sich alles um die Frage, wie Customer-Insights-Abteilungen mehr aus ihren Daten herausholen können. Hier erfährst Du mehr! Wir sind ein Teil der SKOPOS GROUP für zeitgemäße Marktforschung. Eine breit aufgestellte Unternehmensgruppe, die alle zeitgemäßen Marktforschungs-Dienstleistungen unter einem Dach vereint. Von Mitarbeiter-Befragung über Mystery-Shopping bis Customer-Experience und Data Science decken wir alle relevanten Themen und Methoden ab. Wir tauchen tief in Deine Daten ab! Wir unterstützen Dich dabei, Dein Unternehmen bereit für die Zukunft zu machen.

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Image for SKOPOS ELEMENTS | Data Science-Lösungen für Dein Unternehmen!

SKOPOS ELEMENTS | Data Science-Lösungen für Dein Unternehmen!

... Von Wörtern zur Bedeutung: Wie Word Embeddings ...

CAIR Centre for Artificial Intelligence Research's Logo

Grimstad, Norway

11-50 Employees

2017

The AI Circle provides an arena for innovation and co-creation with stakeholders in the public and private sector. The invited members of this closed circle get the opportunity to take part in building and leveraging tomorrow’s artificial intelligence. In our search for superintelligence, we attack unsolved problems and push the research frontier. Making machines that reason and act morally on the basis of causation rather than mere correlation. Using deep reinforcement learning to optimize hydropower production and other complex systems.

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Image for CAIR - Center for Artificial Intelligence Research

CAIR - Center for Artificial Intelligence Research

... Representing words with words - a logical approach to word embedding using a self-supervised Tsetlin Machine Autoencoder. ...

enclaive's Logo

Berlin, Germany

1-10 Employees

You have some­thing to share or have a ques­tion you need answered? Join our open source com­mu­ni­ty and let’s thrive together! Sub­mit yout ques­tion to us and get help from the community. Intro­duc­tion In recent years, cloud com­put­ing has become increas­ing­ly popular…. In today’s dig­i­tal age, data has become a valu­able commodity,…. Keep­ing Secrets Safe in the World of AI with Confidential….

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Image for TENSORFLOW Confidential Container – Enclaive

TENSORFLOW Confidential Container – Enclaive

... can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and PDE (partial differential equation)-based simulations. Best of ...

DataKitchen's Logo

Cambridge, United States

51-100 Employees

2013

In the early 2000s, Chris Bergh, Gil Benghiat, and Eric Estabrooks worked at a small company that offered a full suite of services related to data analytics. Because of the inherent complexity of data pipelines, they found that their teams were constantly challenged and frustrated by their inability to create innovative analytics, reduce embarrassing errors, and try new ideas. They found their answer by studying the software and manufacturing industries, which had been struggling with these same issues for decades. By applying the tools and methodologies from those industries, DataOps was born. Today, DataKitchen and the DataKitchen DataOps Platform ensure that data professionals across the spectrum no longer feel frustrated and powerless by failed or painfully-slow projects but instead are energized and excited by their ability to deliver high-quality, on-demand insight.

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Image for 10 AI tech trends data scientists should know | TechTarget

10 AI tech trends data scientists should know | TechTarget

... Contextualized word embeddings ...

Athos Capital's Logo

Madrid, Spain

11-50 Employees

2016

Sycai Medical cierra una ronda de 780.000 euros. Zinkee cierra una ronda de inversión de 800.000€. El ICO invierte 750 millones de euros en 15 fondos de capital privado. NAPPTIVE raises €550K to simplify cloud-native application development. Venture Capital Fund. Digital Early Stage Solutions. Global ambitions.

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Image for Athos Capital

Athos Capital

... Post #11 - Word Embeddings: El corazón de la revolución del ...

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„Word Embeddings“

Word Embeddings are numerical representations of words in a multidimensional vector space. These representations capture semantic relationships between words, such as similarity in meaning and context, and are often used in natural language processing tasks such as sentiment analysis and text classification.