Machine Learning Techniques for Text
portes grátis
Machine Learning Techniques for Text
Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
Tsourakis, Nikos
Packt Publishing Limited
10/2022
448
Mole
Inglês
9781803242385
15 a 20 dias
Descrição não disponível.
Table of Contents
Introducing Machine Learning for Text
Detecting Spam Emails
Classifying Topics of Newsgroup Posts
Extracting Sentiments from Product Reviews
Recommending Music Titles
Teaching Machines to Translate
Summarizing Wikipedia Articles
Detecting Hateful and Offensive Language
Generating Text in Chatbots
Clustering Speech-to-Text Transcriptions
Introducing Machine Learning for Text
Detecting Spam Emails
Classifying Topics of Newsgroup Posts
Extracting Sentiments from Product Reviews
Recommending Music Titles
Teaching Machines to Translate
Summarizing Wikipedia Articles
Detecting Hateful and Offensive Language
Generating Text in Chatbots
Clustering Speech-to-Text Transcriptions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning; python programming; text processing; natural language processing; deep learning; Tensorflow; CompTia; Salesforce
Table of Contents
Introducing Machine Learning for Text
Detecting Spam Emails
Classifying Topics of Newsgroup Posts
Extracting Sentiments from Product Reviews
Recommending Music Titles
Teaching Machines to Translate
Summarizing Wikipedia Articles
Detecting Hateful and Offensive Language
Generating Text in Chatbots
Clustering Speech-to-Text Transcriptions
Introducing Machine Learning for Text
Detecting Spam Emails
Classifying Topics of Newsgroup Posts
Extracting Sentiments from Product Reviews
Recommending Music Titles
Teaching Machines to Translate
Summarizing Wikipedia Articles
Detecting Hateful and Offensive Language
Generating Text in Chatbots
Clustering Speech-to-Text Transcriptions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.