Natural Language Processing in Action

Description

Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and expand their machine's knowledge which they can then apply to a range of challenges.

Key Features

• Easy-to-follow

• Clear examples

• Hands-on-guide

Audience

A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or

JavaScript will be helpful.

About the technology

Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone.

Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans.

Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning.

Cole Howard is a carpenter and writer turned Deep Learning expert.