Word Vectors Courses and Certifications

Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

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

Building NLP Pipelines with spaCy

46 ratings at LinkedIn Learning

Learn the essentials of problem-solving with spaCy, the popular, open-source software library for advanced natural language processing.

• LinkedIn Learning
• 1 hour 1 minute
• On-Demand
• Free Trial Available

Open Data Science

Understanding Unstructured Data with Language Models - Alex Peattie

Explore language models for unstructured data analysis, covering classification, predictive modeling, and information retrieval. Learn key concepts and practical applications in various fields.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Open Data Science

Introduction to NLP and Topic Modeling

Explore NLP basics, advanced techniques like word vectors, and topic modeling. Learn pre-processing, tools, and methodologies to start NLP modeling and understand topic analysis.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Keith Galli

Complete Natural Language Processing Tutorial in Python

Comprehensive Python tutorial covering NLP fundamentals, techniques, and state-of-the-art models. Includes practical examples using popular libraries and hands-on implementation of advanced concepts.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Natural Language Processing with spaCy & Python - Course for Beginners

In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.

• freeCodeCamp
• 3-4 hours
• On-Demand
• Free Video

Strange Loop Conference

Experimental Creative Writing with the Vectorized Word

Explore experimental creative writing using vector representations of language, blending computational techniques with poetic expression for unique semantic and phonological effects.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

Graham Neubig

CMU Neural Nets for NLP - Distributional Semantics and Word Vectors

Explore distributional semantics and word vectors in NLP, covering techniques like skip-grams, CBOW, and advanced methods for creating and evaluating word embeddings.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2019 - Word Vectors

Explore word embeddings, their training methods, evaluation techniques, and advanced concepts in natural language processing. Learn to represent words numerically for machine learning applications.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2017 - A Simple Exercise - Predicting the Next Word in a Sentence

Explore word prediction techniques, including skip-grams, CBOW, and advanced word vector methods. Learn to describe, count, predict, evaluate, and visualize word relationships in natural language processing.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2021 - Distributional Semantics and Word Vectors

Explore distributional semantics and word vectors in NLP, covering techniques like skip-grams, CBOW, and advanced methods. Learn to evaluate, visualize, and apply word embeddings effectively.

• YouTube
• 43 minutes
• On-Demand
• Free Video