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IBM Research is championing a relatively new AI approach called neurosymbolic computing. Learn more about how it can allow ...

This video serves as an introductory guide to Natural Language Processing (NLP). We'll cover the basics, explaining what NLP is ...

Understand the BERT Transformer in and out. Follow me on M E D I U M: ...

Bag of words is a text vectorization technique coomonly used in NLP. Text vectorization converts text to numbers which can be ...

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This video is one of a series which explains some of the research being carried out at DERI, NUI Galway. This video explains ...

This video will guide you through the entire process of creating a Natural Language Processing (NLP) pipeline from start to finish.

In this video, we'll break down the steps involved in getting text data ready for analysis. Think of it as cleaning and organizing text ...

One hot encoding is a text vectorization technique coomonly used in NLP. Text vectorization converts text to numbers which can ...

Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 BLOG: ...

machinelearning #shorts #deeplearning #chatgpt #neuralnetwork #datascience.

Let's talk about word2vec architectures (CBOW, Skip-gram, GloVe, FastText) SPONSOR Get 20% off and be apart of a Premium ...

Let's talk about a neural network concept called transfer learning. We use this in BERT, GPT and the large language models today ...

How to master the NLP Milton Model in 1 hour or less? It may seem impossible, but hear me out! With only 5 minutes a day of ...

machinelearning #shorts #deeplearning #chatgpt #neuralnetwork.

Medium Article for this video: https://medium.com/towards-data-science/ais-sentence-embeddings-demystified-7c9cce145dd2 ...

Let's talk word embeddings in NLP! SPONSOR Get 20% off and be apart of a Premium Software Engineering Community for ...

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...

Parameter efficient fine tuning is increasingly important in NLP and genAI. Let's talk about it. RESOURCES [1 ] RNNs were the ...