Natural Language Processing

Build cool NLP and machine learning applications using NLTK and other Python libraries

Learn to build expert NLP and machine learning projects using NLTK and other Python libraries

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Going from a Python developer to an effective Natural Language Processing Engineer

Learn the tricks and tips that will help you design Text Analytics solutions

A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions

Explore various approaches to organize and extract useful text from unstructured data using Java

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems.

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Perform efficient fast text representation and classification with Facebook's fastText library

Gain knowledge of various deep neural network architectures and their application areas to conquer your NLP issues.