Natural Language Processing (NLP) Essentials

Unlock the power of understanding and generating human language with our comprehensive NLP Essentials program. This course is designed to provide a strong foundation in the core concepts and techniques of Natural Language Processing, equipping you with the skills to build intelligent language-aware applications.

What You Will Learn:

  • Fundamental concepts of text processing and representation
  • Text classification and sentiment analysis
  • Named Entity Recognition (NER) and Part-of-Speech (POS) tagging
  • Topic modeling and document summarization
  • Introduction to sequence models and recurrent neural networks (RNNs) for NLP
  • Basic transformer architectures and their applications
  • Hands-on experience with popular NLP libraries like NLTK, spaCy, and Hugging Face Transformers
  • Building practical NLP applications and projects

Target Audience:

This program is ideal for software developers, data analysts, AI enthusiasts, and anyone interested in applying machine learning techniques to understand and process text data. A basic understanding of Python programming is recommended.

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Key Modules

01

Introduction to NLP

Exploring the history, applications, and challenges of natural language processing.

02

Text Preprocessing & Feature Extraction

Techniques for cleaning, tokenizing, and transforming text data into machine-readable formats.

03

Text Classification & Sentiment Analysis

Building models to categorize text and determine the emotional tone.

04

Sequence Models for NLP

Leveraging RNNs and LSTMs to handle sequential text data.

05

Introduction to Transformers

Understanding the architecture and impact of transformer models like BERT.

06

Practical Projects & Applications

Applying learned concepts to real-world problems like chatbots and Q&A systems.