Dec 1: Winter Bootcamp Application Deadline. Apply Now In Just 10 Mins

Natural Language Processing

Details

PREREQUISITES

Intro to Python or similar. Machine Learning Foundations or similar.

LENGTH

3 Days

LOCATION

Live Online

STUDENT PROFILE

Managers and analytical staff interested in exploring Natural Language Processing approaches

Course Description

From NLP foundations to choosing and developing algorithms, this course helps your data science team upskill in the field of natural language processing. We’ll explore how computers process language and the ways NLP solutions can serve your business. We’ll also address choosing algorithms that best meet your team’s needs.

Course Outcomes

Upon completion of the course, attendees should be able to:

Evaluate and discover opportunities for NLP solutions

Build a pipeline to prepare text for NLP applications

Create NLP solutions for your business

Training Content

DAY 1:

Natural Language Processing

Introduction, text processing overview

Steps in an NLP Solution

Common applications and solution types

DAY 2:

Text Processing

Tokenization, Segmentation, N-grams

Similarity measures

Stop words

Stemming and Lemmatization

Chunking and Part-of-speech tagging

Bag of words, vectorization, TF-IDF

DAY 3:

Creating Insights

Text Clustering, Topic Modeling, and Sentiment Analysis

Latent Semantic Analysis, Latent Dirichlet Allocation, Matrix factorization

Deep Learning approaches, Word2Vec, Text Generation

Details

PREREQUISITES

Intro to Python or similar. Machine Learning Foundations or similar.

LENGTH

3 Days

LOCATION

Live Online

STUDENT PROFILE

Managers and analytical staff interested in exploring Natural Language Processing approaches