This course provides advanced-level training on Machine Learning applications developed with Python.
Delegates will learn best practices for building and deploying Machine Learning products using Python and its rich ecosystem for scientific computing.
The course is intensive and intended for software developers and software engineers with a working knowledge of Python, who want to improve their proficiency in building data products.
The course should be appealing also to Data Scientists and Data Analysts with a basic knowledge of Python. With practical exercises and interactive discussions, the attendees have the opportunity to apply the proposed concepts on real Data Science applications, building predictive analytics software.
This course is intended for a diverse range of people who want to learn how to write programs that analyze written language, regardless of previous programming experience:
Simple Text Manipulation
Processing complex structures
Natural Language Understanding
Machine translations (statistical, rule based, literal, etc...)
NLP in Python in examples
Accessing Text Corpora and Lexical Resources
Processing Raw Text
Categorizing and Tagging Words
Text Classification (Machine Learning)
Extracting Information from Text
Analyzing Sentence Structure
Building Feature Based Grammars
Analyzing the Meaning of Sentences
Managing Linguistic Data
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