Eminently practical skills in Natural language processing using ML and AI will help you in your current and future career. Most courses in ML and AI gloss over the practical skills needed in today’s high-tech environment.

Delivered by an experienced professional, and highly accessible both online and onsite.

The online classes will be Realtime and face to face video lectures.

This course offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.

NLTK with Python will help you:

• Extract information from unstructured text, either to guess the topic or identify "named entities"
• Analyze, linguistic structure in text, including parsing and semantic analysis
• Access popular linguistic databases, including WordNet and treebanks
• Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence

This course will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.

If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.