Natural Language Understanding Course Online For Free tutorial With Certificate

Track :

Computer Science

Lessons no : 15

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 15

Recommended Courses



We Appreciate Your Feedback

Excellent
1 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews

5

1 Reviews


Arpan Murmu

Very impressive 2022-04-28

Show More Reviews

Best Telegram Channels
Join Our Telegram Channels to Get Best Free Courses in your Learning Track

Join Now
Free Natural Language Understanding tutorial, Natural-language understanding Natural-language understanding or natural-language interpretation is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem.How does natural language understanding NLU work? NLU is branch of natural language processing (NLP), which helps computers understand and interpret human language by breaking down the elemental pieces of speech. While speech recognition captures spoken language in real-time, transcribes it, and returns text, NLU goes beyond recognition to determine a user's intent.What can human still do better than machine learning? What can a human still do better and faster than any Machine Learning (ML) solution? transfer knowledge between domains. understand what data represents. judge the quality of any given data.What is the difference between humans and robots? Unlike humans, robots do not have experience and don't understand context. For a robot, context is created every time it runs (a clear session is created), and when it completes the task, it “clears” everything afterward, to leave the system in the same condition as when it started.