How does AI understand human language and convert text into something a machine learning model can process?
In Episode 7, we explore the fundamentals of Encoding, Normalization & Text Features and understand how raw text is transformed into meaningful data for machine learning.
In this episode, you will learn:
What is Text Encoding?
Why Text Normalization is important
How text is converted into numerical features
Common text feature extraction techniques
Practical implementation with ML.NET
Live demo to understand the complete workflow
This session is part of our ML.NET learning series, designed to help .NET developers build a strong foundation in Machine Learning.
👉 Subscribe to ScholarHat for more .NET, AI/ML, GenAI and Cloud learning content.
Connect with ScholarHat
🌐 Website: https://www.scholarhat.com/
▶️ YouTube: https://www.youtube.com/@ScholarHat
💼 LinkedIn: https://www.linkedin.com/company/scholarhatx/
📘 Facebook: https://www.facebook.com/scholarhat/
📸 Instagram: https://www.instagram.com/scholarhatx/?hl=en
👉 Follow our WhatsApp Channel: https://whatsapp.com/channel/0029VaEFj7IL7UVeLUzDiM1k
#MLNET #MachineLearning #DotNet #AI #ArtificialIntelligence #NLP #TextProcessing #DataScience #DotNetDevelopers #ScholarHat