Published 12/2022
Created by Rosario Moscato
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 15h 14m ) | Size: 6 GB
Get your Natural Language Processing skills from scratch!
What you'll learn
Natural Language Processing theory and practice
Main topics such as Tokenization, Stopwords, Stemming, Lemmatization, PoS, NER, BoW, TF-IDF and Embeddings including an hands-on part for each of them
Coding Projects with Sentiment Analysis, Text Classification and Summarization
AI Ethics Principles applied to NLP and NLU
Requirements
Python (or any programming language) basic knowledge
Description
Let's understand NLP and get all fundamental skills from SCRATCH!In this course you are invited to learn all the fundamental skills required in any kind of activity related to the Natural Language Processing and you will learn them from a theoretical and practical point of view, in fact you will seat together with me coding and implementing any topic step-by-step, instruction after instruction.Moreover we are going to create from zero three extremely interesting projects: Text ClassificationSentiment AnalysisSummarizationAny of these projects will be a real and working use case so you will be able to re-use them in your own apps.In few words, this course is a real journey inside Natural Language Processing starting from the very beginning and finishing with the idea that all modern systems are leveraging: word embeddings.We are exploring NLU, NLG, NLP History, applications and use cases, studing Tokenization, Stopwords, Stemming, Lemmatization, PoS, NER, BoW, TF-IDF and Embeddings.Beside all this large content we are keeping an eye even on the AI Ethics because from very strong power always derives a strong responsibility too.At the end of the videos and hands-on parts you will be ready to continue by yourself facing any kind of challenge in the fashinating NLP world!Don't hesitate to contact me for any kind of question!
Who this course is for
AI Professionals, Python Programmers, Machine Learning Students, Computer Science Students, IT Passionates
Homepage
Code:
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