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Getting Started with Artificial Intelligence
Artificial intelligence techniques are becoming a fundamental component of business growth across a wide range of industries. Enterprise technologies that automate and detect patterns can augment human expertise, empowering both employees and applications to make richer, more data-driven decisions.
Complete with case studies, implementation examples, and a survey of the current landscape, this book serves as an ideal starting point for your journey into enterprise AI.
As a developer tasked with building enterprise-level AI applications, you’re looking to learn about the tools and techniques that will help you get the job done. In this book, authors Tom Markiewicz and Josh Zheng—developer advocates for IBM Watson—explore three of the more common uses for AI in the enterprise: natural language processing (NLP), computer vision, and chatbots.You'll also learn methods for creating a data pipeline that forms the backbone for building these applications.
Explore why NLP is the key to mining unstructured data in emails, articles, blog posts, customer support discussions, and other documents
Gain practical tips for building chatbots, and learn how these applications are used in the customer support and e-commerce industries
Examine capabilities that computer vision brings to your applications, including image classification and tagging
Get a high-level guide to data pipelines—the backbone of your AI applications
Complete with case studies, implementation examples, and a survey of the current landscape, this book serves as an ideal starting point for your journey into enterprise AI.
As a developer tasked with building enterprise-level AI applications, you’re looking to learn about the tools and techniques that will help you get the job done. In this book, authors Tom Markiewicz and Josh Zheng—developer advocates for IBM Watson—explore three of the more common uses for AI in the enterprise: natural language processing (NLP), computer vision, and chatbots.You'll also learn methods for creating a data pipeline that forms the backbone for building these applications.
Explore why NLP is the key to mining unstructured data in emails, articles, blog posts, customer support discussions, and other documents
Gain practical tips for building chatbots, and learn how these applications are used in the customer support and e-commerce industries
Examine capabilities that computer vision brings to your applications, including image classification and tagging
Get a high-level guide to data pipelines—the backbone of your AI applications
69 pages, ebook
Published April 13, 2018
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December 7, 2018
Its a great introductory book for those who want to get into AI development! Lot of useful references,information on the advent of the industry overall. Tom and Josh laid out Challenges / drawbacks in areas of AI. Future is clear.. Machines are rising, humans better rise too 🙂
Back to my tensorflow now...
Back to my tensorflow now...
Displaying 1 of 1 review