Word Embeddings Courses and Certifications

Machine Translation with Keras

Are you curious about the inner workings of the models that are behind products like Google Translate?

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Google DeepMind: Represent Your Language Data

In this Google DeepMind course you will learn how to prepare text data for language models to process.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Association for Computing Machinery (ACM)

Quantifying and Reducing Gender Stereotypes in Word Embeddings

Hands-on exploration of gender biases in word embeddings, quantifying stereotypes, and implementing techniques to reduce bias in natural language processing applications.

• YouTube
• 56 minutes
• Self-Paced
• Conference Talk

Devoxx

Word Embeddings from Deep Space Nine using Machine Learning

Explore word embedding techniques using Star Trek Deep Space Nine scripts, from Bag of Words to BERT, with practical insights for production environments.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk

UofU Data Science

Neural Classification with Word Embeddings - PyTorch Tutorial

Master neural classification techniques and word embeddings implementation in PyTorch through hands-on practice with essential deep learning concepts and practical applications.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

UofU Data Science

Word Embeddings - Word2Vec Skip-Gram

Dive into word2vec skip-gram architecture to transform words into meaningful vector representations for natural language processing and machine learning applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Natural Language Processing in TensorFlow

6537 ratings at Coursera

Learn to process text, tokenize sentences, and apply RNNs, GRUs, and LSTMs in TensorFlow for natural language processing tasks, including sentiment analysis and poetry generation.

• Coursera
• 23 hours 7 minutes
• Self-Paced
• Paid Course

Enhancing the Word Play Game with new functionalities

Enhance your word game with semantic scoring, leaderboards, and Flask server integration for dynamic user interaction and competitive gameplay.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Making a LLM Prediction Game with Node.js and Express

Discover how to build a JavaScript-based LLM prediction game using Node.js and Express, where players guess the model's next word and earn points through semantic similarity.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 3 courses

Enhancing the FastAPI Word Play Game with new functionalities

Enhance a FastAPI Word Play Game by integrating semantic scoring with spaCy, a SQLAlchemy leaderboard, and dynamic API routes to connect frontend interactions with game logic.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Natural Language Processing with Classification and Vector Spaces

4638 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1183 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

• Coursera
• 21 hours 6 minutes
• Self-Paced
• Paid Course

Stanford CS224N - Natural Language Processing with Deep Learning 2023

Master cutting-edge neural networks for NLP, from word vectors to Transformers, with hands-on tutorials covering RNNs, attention mechanisms, and modern language models.

• YouTube
• 1 day 5 hours 12 minutes
• Self-Paced
• Free Video

Stanford CS224N - Natural Language Processing with Deep Learning - Winter 2021

Master neural networks, transformers, and attention mechanisms for text processing, translation, and language generation through Stanford's comprehensive deep learning approach.

• YouTube
• 1 day 7 hours 31 minutes
• Self-Paced
• Free Video

Fundamentals of Natural Language Processing

17 ratings at Coursera

Explore the foundations of NLP through probabilistic language models, neural networks, and vector-based meaning representations, learning to implement N-gram models, text classifiers, and word embeddings.

• Coursera
• 1 day 6 minutes
• Self-Paced
• Paid Course