Feature Extraction explained

Publicado el: 23 junio 2024
en el canal de: Biomedical AI Basics

1,455

Feature extraction refers to the process of transforming raw data or images into numerical features that can be processed while preserving the information in the original data set. It yields better results than applying machine learning directly to the raw data.

Follow us on Instagram:
  / biomedical_basics

⭕ Subscribe:
It takes a lot of time in creating these videos, so please subscribe, it would mean a lot
✅ Subscribe :   / @biomedicalaibasics

⭕Playlists:

✅Deep Learning in MATLAB :
   • Deep Learning in MATLAB

✅Python Biomedical Image Processing
   • Python Biomedical Image Processing

✅Deep Learning
   • Deep Learning

Queries:
Feature Extraction,Data preprocessing,Machine Learning,feature extraction,feature extraction u0026 selection,natural language processing,r statistical programming,data preprocessing,data preprocessing steps,artificial intelligence,minmaxscaler in sklearn,sklearn,linear regression sklearn,neural networks,data science,prerequisite for data preprocessing,machine learning for beginners,learn machine learning,data cleaning,data transformation,feature engineering

En esta página del sitio puede ver el video en línea Feature Extraction explained de Duración hora minuto segunda en buena calidad , que subió el usuario Biomedical AI Basics 23 junio 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 1,455 veces y le gustó 12 a los espectadores. Disfruta viendo!

44,802

304