PDFs are a particularly challenging source for NLP because they are not designed as structured, machine-friendly data formats. A PDF…
ARTIFICIAL INTELLIGENCE (25) – Natural Language Processing (5) Fundamentals
Natural Languages are languages used by humans. The aim of Natural Language Processing is to talk to computers in Natural…
ARTIFICIAL INTELLIGENCE (24) – Deep learning (17) Building a Deep Learning APP
1. Objective The goal is to build a complete Deep Learning application, including: -Training a sentiment analysis model. -Saving the…
ARTIFICIAL INTELLIGENCE (23) – Natural Language Processing (4) Text Representations in NLP (3) Word embeddings
Word embeddings are a more advanced way to represent words compared to count vectors. Instead of just counting words, each…
ARTIFICIAL INTELLIGENCE (22) – Natural Language Processing (3) Text Representations in NLP (2) Count vectorizer
A Count Vectorizer is a way for a computer to understand a sentence by counting words instead of looking at…
ARTIFICIAL INTELLIGENCE (21) – Natural Language Processing (3) Text Representations in NLP (1) One-hot encoding
We are going to explore the inputs representations in the process of transforming a text corpus into different input formats…
yolandamuriel.com 
Debe estar conectado para enviar un comentario.