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Document AI

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May 1, 2024 3 minute read
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Document Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize the way we work with documents. By using AI to automate tasks such as data extraction, classification, and summarization, we can save time, improve accuracy, and gain insights from our documents that would otherwise be impossible.

Who Should Learn Document AI?

Anyone who works with documents can benefit from learning about Document AI. This includes students, researchers, business professionals, and anyone else who needs to process large volumes of documents.

Why Learn Document AI?

There are many reasons to learn Document AI. Some of the benefits of learning this technology include:

Path to Document AI

Take the first step.
We've curated four courses to help you on your path to Document AI. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Document AI.
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Introduction to Information Retrieval
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Covers natural language processing (NLP) techniques for document understanding. It provides a detailed overview of the techniques used to extract information from text, including part-of-speech tagging, named entity recognition, and semantic role labeling.
Introduction to Information Retrieval
Hardcover
$$$
Introduction to Information Retrieval
Kindle Edition
$$$
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Deep Learning
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Provides a comprehensive overview of document AI and its applications in the business world. It covers topics such as data extraction, classification, summarization, and search.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
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The Emergence of the Digital Humanities
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Provides a comprehensive overview of document understanding in the digital humanities. It covers a wide range of topics, including text analysis, information visualization, and data mining.
The Emergence of the Digital Humanities
Paperback
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The Emergence of the Digital Humanities
Kindle Edition
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Cover image
Survey of Text Mining II
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Provides a practical guide to text mining for business applications. It covers a wide range of topics, including text preprocessing, text analysis, and text visualization.
Survey of Text Mining II: Clustering,...
Paperback
$
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