Introduction to NLP | Lecture 1 Part 1 | NLP from Scratch Lecture series

Miro notes: https://miro.com/app/board/uXjVIbKOyZ4=/?share_link_id=342461530909

Natural Language Processing: From Introduction to Language ---to--- Processing Language ---to--- Approaches to Processing Language !

If you are curious about these below questions, watch this video, it answers these perfectly.

Why should I process Language ?

How has society transformed?

What is Human Computer Interaction and Human Computer Interface?

What is Language, first of all ?

How do I make computers understand Language?

Who is that guy?
He is Dr. Noam Chomsky, 97 years old renowned Linguist and Computer Scientist, living legend ! Inventor of CFG.

CFG, whatt?

What are the ways to process language ?

Are the Heuristic Rule based NLP systems even relevant?

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Welcome to the very first lecture of our Natural Language Processing (NLP) Lecture Series! In this introductory video, I walk you through the fundamentals of NLP—from understanding why we process language to exploring the evolution of human-computer interaction that has shaped our digital world.

Follow Sharvesh Subhash on Linkedin for more updates:
https://www.linkedin.com/in/sharveshsubhash/

In this lecture, you'll learn:

The Origins of Language & Communication: Discover how our ancestors passed wisdom through carved rocks and how this evolved into today’s digital revolution.
The Power of Human-Computer Interaction: Understand how HCI has democratized information access, enabling faster knowledge sharing and innovation.

Breaking Down Language: A deep dive into the components of language—phonetics, lexicons, syntax, and semantics—and how these help computers interpret human language.
The Mechanics of Parsing: Explore the fascinating process of converting source code into parse trees and syntax trees using context-free grammars (CFG), a technique invented in 1956 that paved the way for modern programming and NLP.

Heuristics & Rules in NLP: Learn about the strategies and mental shortcuts (heuristics) that simplify decision-making and text analysis, along with their practical applications like lexicon-based sentiment analysis.

Real-World Applications & Challenges: See examples of how these techniques are applied in fields ranging from programming language processing to electronic health records and beyond.

Whether you’re a student new to NLP or a seasoned developer looking to sharpen your skills, this lecture sets the foundation for everything that follows in our series—including deep dives into machine learning approaches, advanced NLP techniques, and a comprehensive briefing on the NVIDIA Certified Associate Examination syllabus.

If you’re serious about mastering NLP, join me on this journey. Make sure to watch the entire series for a complete understanding and the skills needed to tackle real-world challenges in language processing.

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Watch now and begin your NLP odyssey!

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Видео Introduction to NLP | Lecture 1 Part 1 | NLP from Scratch Lecture series канала Vizuara
Natural Language Processing, NLP, NLP From Scratch, Machine Learning, Deep Learning, NLP enthusiasts