Exceptional training for PYTHON DEVELOPERS

Python & NLP Training Course

Learn how to write programs that analyze written language

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19 Sep London

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Python

Python for Data Analysts & Quants

Python for Financial Traders

Python Machine Learning

Python (Advanced)

Web Scraping

Python & NLP training course (code: PYTHONNLP)

TRAINING COURSE OVERVIEW

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.

AUDIENCE

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:

CONTENT

DETAIL HIGHLIGHTS

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Simple Text Manipulation

Searching Text
Counting Words
Splitting Texts into Words
Lexical dispersion

Processing complex structures

Representing text in Lists
Indexing Lists
Collocations
Bigrams
Frequency Distributions
Conditionals with Words
Comparing Words (startswith, endswith, islower, isalpha, etc...)

Natural Language Understanding

Word Sense Disambiguation
Pronoun Resolution

Machine translations (statistical, rule based, literal, etc...)

NLP in Python in examples

Accessing Text Corpora and Lexical Resources

Common sources for corpora
Conditional Frequency Distributions
Counting Words by Genre
Creating own corpus
Pronouncing Dictionary
Shoebox and Toolbox Lexicons
Senses and Synonyms
Hierarchies
Lexical Relations: Meronyms, Holonyms
Semantic Similarity

Processing Raw Text

Printing
Truncating
Extracting parts of string
Accessing individual characters
Searching, replacing, splitting, joining, indexing, etc...
Using regular expressions
Detecting word patterns
Stemming
Tokenization
Normalization of text
Word Segmentation (especially in Chinese)

Categorizing and Tagging Words

Tagged Corpora
Tagged Tokens
Part-of-Speech Tagset
Python Dictionaries
Words to Propertieis mapping
Automatic Tagging
Determining the Category of a Word (Morphological, Syntactic, Semantic)

Text Classification (Machine Learning)

Supervised Classification
Sentence Segmentation
Cross Validation
Decision Trees

Extracting Information from Text

Chunking
Chinking
Tags vs Trees

Analyzing Sentence Structure

Context Free Grammar
Parsers

Building Feature Based Grammars

Grammatical Features
Processing Feature Structures

Analyzing the Meaning of Sentences

Semantics and Logic
Propositional Logic
First-Order Logic
Discourse Semantics

Managing Linguistic Data

Data Formats (Lexicon vs Text)
Metadata

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

FEEDBACK

"At jbi even the sales team are technical so you are able to ask questions before the course"

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LONDON COURSES
- INCLUDES LUNCH -

19th Sep 2019 - 3 days £1995

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