Supriya Raman

This course teaches you the basics of Natural Language Processing, one of the most important applications of Machine Learning today. The course will cover basic topics like Applications of NLP, Steps in Understanding Text, Encoding Text, and Challenges in NLP.

Natural Language Processing 101

Introduction

Evolution of Human-Machine Communication

NLP Applications

Understanding Text

Steps in Understanding Text

Examples of Text Processing

Deep Learning in NLP

Text Encoding

Corpus

Regular Expressions or Regex

Zipf’s Law

Tokenization

Bag of Words

Stemming and Lemmatization

Why NLP is Hard

Ambiguity and Language Complexity

Unknown Representation and Expressivity

Unmodeled Variable and Sparsity

Natural Language Processing 101

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About this course

Contributors & Instructors

What you will learn?

Course Content

1. Introduction

2. Understanding Text

3. Text Encoding

4. Why NLP is Hard

Earn Recognition

Take the next step towards your Data Science learning journey and make most of the community learning

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