From a2c7c8a5313fec04495d74a1701fe1f5451456a6 Mon Sep 17 00:00:00 2001 From: Meghavarshini Krishnaswamy Date: Sun, 2 Mar 2025 16:26:23 -0700 Subject: [PATCH] Update 2024-Fall-NLP4All.md --- _talks/2024-Fall-NLP4All.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/_talks/2024-Fall-NLP4All.md b/_talks/2024-Fall-NLP4All.md index 6067f35..427c944 100644 --- a/_talks/2024-Fall-NLP4All.md +++ b/_talks/2024-Fall-NLP4All.md @@ -15,11 +15,13 @@ Permalink:[https://github.com/ua-datalab/NLP-Speech](https://github.com/ua-datal An engaging and accessible introduction to Natural Language Processing (NLP) and its practical applications for everyday tasks! In "NLP for All," I explore the fundamental concepts behind NLP: From understanding how computers interpret human language; to discovering how to improve search queries, use regular expressions, find datasets, and learn about pipelines for working with language. This series will demystify popular technologies and show how they work. #### What We Will Cover: + - **Foundations of NLP:** NLP concepts and terminology without needing a technical background. - **Real-World Applications:** Practical uses of NLP in various contexts, such as improving search and information retrieval, generating and evaluating automatic transcriptions, and working with popular libraries such as spaCy, PyTorch and scikit-learn. - **Hands-On Experience:** NLP concepts in action with a well-documented code notebook, aimed at solving practical examples. I also show online sources for NLP tools and datasets hosted on HuggingFace, SpeechBrain, WhisperAI and Ollama. #### Pre-requisites: + - A Google account to run [Google Colab](http://colab.research.google.com/) (where we will do most of our programming exercises) - Basic knowledge of Python. You can brush up python fundamentals with Software Carpentry's [Introduction to Python (section 1)](https://swcarpentry.github.io/python-novice-inflammation/01-intro.html)