Description

AI and Deep Learning for NLP: Tools and Techniques for the Enterprise

AI and Deep Learning for NLP: Tools and Techniques for the Enterprise
MP4 | Video: AVC 1920×1080 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 7.24 GB Genre: eLearning | Language: English
What is this video about, and why is it important?

How this course will help you

Natural language processing (NLP) involves the application of machine learning and other statistical techniques to derive insights from language. As the volume of text-based data, such as documents, tweets, and email, continues to grow, techniques in natural language processing are becoming central to modern intelligent applications.

This video will bring you up-to-speed on the state of NLP, and explore current approaches to integrate AI and deep learning at scale for NLP.

You’ll learn strategies for moving from proof of concept to a full-scale product, understand key techniques in NLP, and learn how to integrate these techniques based on the goals for your business.
In this series of five curated talks from O’Reilly’s Artificial Intelligence Conference in New York, June 2017, you’ll join a group of experts in the field of

AI to discover deep learning breakthroughs for conversational AI, understand the technologies involved with this emerging field, and learn what is possible with current NLP techniques.
What you’ll learn-and how you can apply it

How this course will help you

Explore the current landscape relating to natural language understanding in the enterprise,

including bots, natural language processing, and text generation

Understand the challenges of and techniques for scaling up NLP in the enterprise
Learn about recent deep learning breakthrough

The development of NLP has been accelerating rapidly in recent years.

How this course will help you

Along with this improvement has come an effort to apply it to areas where traditional natural language processing often fails,

such as responding to thousands of questions at once, or

understanding text that can be misinterpreted in multiple ways (ambiguity).

As information technology continues to advance, the need

for applications that can understand human language will become increasingly important.

This course is geared towards those who are interested in

understanding these challenges and developing new solutions for interaction between humans and machines.

Natural language understanding plays a central role in the enterprise,

with applications ranging from customer support to business analytics and even marketing and sales.

In this course, you’ll learn about the current landscape relating to natural language understanding (NLP) in the enterprise, including bots, natural language processing and text generation. You’ll explore methods for scaling up NLP and deep

learning breakthroughs for conversational AI that can be utilized in practice.