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#Word2Vec

Showing: 15 courses

Natural Language Processing

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Explore natural language processing (NLP) concepts, review Text preprocessing and data cleaning, learn forward propagation and back propagation in neural networks, Word Embedding using Keras and deep learning with examples
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29 Lesons
10 hours
On-Demand
Free-Video
Linux Foundation

Modern Techniques for Better Search Relevance in Solr

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Explore modern search relevance techniques beyond BM25, including machine learning and NLP. Learn to measure, fine-tune, and implement advanced methods like learning to rank and query intent classification in Apache Solr.
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1 Lesons
56 minutes
On-Demand
Free-Video
UofU Data Science

Vector Semantics and Word Embeddings in Data Science

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Dive into the mathematical foundations of vector semantics and word embeddings, exploring how words are represented as numerical vectors for natural language processing applications.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
UofU Data Science

Vector Semantics and Word Embeddings in Natural Language Processing

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Dive into vector semantics and word embeddings, exploring representation learning, distributional hypothesis, word2vec implementation, and their practical applications in natural language processing.
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7 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Yannic Kilcher

Word2Vec- Distributed Representations of Words and Phrases and Their Compositionality

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Explore Word2Vec, a groundbreaking technique for creating word vectors. Learn about distributed representations, skip-gram model, negative sampling, and subsampling methods to improve vector quality and training efficiency.
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9 Lesons
31 minutes
On-Demand
Free-Video
Alfredo Canziani

Deep Learning for Natural Language Processing

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Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.
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7 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Krish Naik

Complete Natural Language Processing Machine Learning Tutorial

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Comprehensive NLP tutorial covering tokenization, preprocessing, encoding, and word embeddings. Practical implementations and in-depth explanations for beginners and intermediate learners.
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11 Lesons
3 hours 53 minutes
On-Demand
Free-Video
Security BSides San Francisco

Making Sense of Unstructured Threat Data

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Explore how Natural Language Processing and Word2Vec can organize unstructured cybersecurity intelligence, making it actionable by mapping to frameworks like MITRE ATT&CK.
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1 Lesons
21 minutes
On-Demand
Free-Video
WeAreDevelopers

Using Text Embedding Algorithms in Recommender Systems

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Explore text embedding algorithms' surprising effectiveness in recommendation systems, outperforming state-of-the-art models while offering efficiency for large-scale applications.
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20 Lesons
44 minutes
On-Demand
Free-Video
WeAreDevelopers

Bias in NLP

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Exploring ethical implications of word embedding models in NLP, focusing on gender bias in occupational representations derived from Wikipedia data using word2vec algorithm.
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1 Lesons
28 minutes
On-Demand
Free-Video
EuroPython Conference

Un Vector por Tu Palabra

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Exploración de representación distribuida de palabras y su aplicación en clasificación de textos de redes sociales, utilizando el ecosistema científico de Python para experimentos replicables.
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1 Lesons
36 minutes
On-Demand
Free-Video
Devoxx

Word Embeddings from Deep Space Nine using Machine Learning

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Explore word embedding techniques using Star Trek Deep Space Nine scripts, from Bag of Words to BERT, with practical insights for production environments.
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14 Lesons
43 minutes
On-Demand
Free-Video
James Briggs

Intro to Dense Vectors for NLP and Vision

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Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.
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10 Lesons
44 minutes
On-Demand
Free-Video
OpenSource Connections

How Far is the Empire State Building from the Eiffel Tower? Semantic Vectors in Travel Discovery - Haystack US 2023

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Explore semantic vector applications in travel marketplaces for improved recommendations, ranking, and ad optimization. Learn about evolving algorithms and practical advice for implementation.
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1 Lesons
45 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Deep Learning in NLP and Beyond - 2015

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Explore advanced machine learning in NLP, focusing on recurrent neural networks and deep learning. Gain insights into future research directions for developing language-understanding machines.
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12 Lesons
57 minutes
On-Demand
Free-Video