Ementorhub

What you'll learn

Analyze corpora to develop effective lexicons using subword tokenization.

Develop language models that can assign probabilities to texts.

Design, implement, and evaluate the effectiveness of text classifiers using gradient-based learning techniques.

Design, implement and evaluate unsupervised methods for learning word embeddings.

Skills you'll gain

Unstructured Data

Data Processing

Probability & Statistics

Statistical Modeling

Natural Language Processing

Algorithms

Machine Learning

Regression Analysis

Artificial Neural Networks

Supervised Learning

Text Mining

There are 4 modules in this course

This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

Probabilistic Language Models

Text Classification and Logistic Regression

Vector Space Semantics and Word Embeddings