Word Embeddings Courses and Certifications

Open Data Science

Social Biases in Text Representations and Their Mitigation

Explore social biases in text representations and their mitigation with NLP expert Danushka Bollegala. Learn about gender bias, word embeddings, masked language models, and multi-lingual bias evaluation in AI systems.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

DeepLearning.AI;  Stanford

Sequence Models

30203 ratings at Coursera

Master sequence models for NLP tasks, including RNNs, LSTMs, and transformers. Apply these techniques to speech recognition, language modeling, and machine translation.

• Coursera
• 1 day 13 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing in TensorFlow

6448 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 19 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing with Classification and Vector Spaces

4388 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
• On-Demand
• Free Online Course (Audit)

Natural Language Processing with Sequence Models

1129 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 14 minutes
• On-Demand
• Free Online Course (Audit)

Understanding and Applying Text Embeddings

54 ratings at Coursera

Explore text embeddings for classification, clustering, and semantic search. Learn to build Q&A systems using Vertex AI, combining embeddings with LLM capabilities for enhanced text analysis and applications.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Embedding Models: From Architecture to Implementation

Explore embedding models' evolution, architecture, and implementation. Learn to build and train dual encoders, understand BERT, and apply models in semantic search and RAG pipelines.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deep Learning Foundations: Natural Language Processing with TensorFlow

500 ratings at LinkedIn Learning

Learn foundational deep learning techniques to classify, predict, and generate text using different neural networks.

• LinkedIn Learning
• 1 hour 48 minutes
• On-Demand
• Free Trial Available

Machine Translation with Keras

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

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

IBM;  Amazon Microcredential

Natural Language Processing

275 ratings at Udacity

Master advanced NLP techniques, from text cleaning to machine translation. Build models for sentiment analysis, speech recognition, and more using deep learning and neural networks.

• Udacity
• 2 months 2 weeks 4 days 5 hours 55 minutes
• On-Demand
• Paid Course

Recurrent Neural Networks

143 ratings at LinkedIn Learning

Learn the basics of recurrent neural networks to get up and running with RNN quickly.

• LinkedIn Learning
• 1 hour 7 minutes
• On-Demand
• Free Trial Available

Learn to build basic language models in Python, including bag-of-words, tf-idf, and word embeddings. Develop skills for measuring word similarity and determining document importance.

• Codecademy
• 4 hours
• On-Demand
• Free Trial Available

Natural Language Processing with PyTorch

20 ratings at Pluralsight

This course covers the use of advanced neural network constructs and architectures, such as recurrent neural networks, word embeddings, and bidirectional RNNs, to solve complex word and language modeling problems using PyTorch. 

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

tinyML

Structured Quantization for Neural Network Language Model Compression

探讨神经网络语言模型的结构化量化压缩技术,展示如何在不损失性能的情况下实现70-100倍的高压缩率,适用于资源受限场景。

• YouTube
• 32 minutes
• On-Demand
• Free Online Course