Word Embeddings Courses and Certifications

DataLearning@ICL

Tackling Fairness, Change, and Polysemy in Word Embeddings

Explore fairness, change, and polysemy in word embeddings with Felipe Bravo's presentation on cutting-edge research in natural language processing and machine learning.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

UofU Data Science

Word Embeddings and Self-Supervised Learning in Natural Language Processing - Lecture 8

Explore word embedding techniques from PPMI vectors to modern contextual models like GPT, understanding their applications in natural language processing and data mining.

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

UofU Data Science

Vector Semantics and Word Embeddings in Data Science

Dive into the mathematical foundations of vector semantics and word embeddings, exploring how words are represented as numerical vectors for natural language processing applications.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Vector Semantics and Word Embeddings in Natural Language Processing

Dive into vector semantics and word embeddings, exploring representation learning, distributional hypothesis, word2vec implementation, and their practical applications in natural language processing.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Word Embeddings - From PPMI to Contextual Representations - L3

Explore how words transform into high-dimensional vectors, from PPMI to word2Vec/GloVe to contextual embeddings like BERT, based on context-defined representational hypotheses.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Word Embeddings - Evaluation and Analysis + Course Preview

Explore word embeddings evaluation and analysis techniques while getting a preview of upcoming data science concepts.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Natural Language Processing

Explore the world of NLP, from tokenization and word embeddings to transformers and LLMs, building skills for roles in AI, chatbots, and language technology.

• Coursera
• 2 days 8 hours 42 minutes
• Self-Paced
• Paid Course

Sequence Models

31244 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 7 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

Graham Neubig

Advanced NLP: Representing Words - Lecture 2

Explore advanced techniques for representing words in NLP, including subword models, continuous embeddings, and neural networks. Gain insights into visualizing word representations.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

OpenSource Connections

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

Explore semantic vector applications in travel marketplaces for improved recommendations, ranking, and ad optimization. Learn about evolving algorithms and practical advice for implementation.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Embeddings and Representations in Machine Learning - Spring 2023

Explore data representation techniques from TF-IDF to contextualized embeddings, covering word analogies, societal biases, and image representations for advanced data mining applications.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Trial Available

Natural Language Processing (NLP) in Python

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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