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Description
Amazon Kendra is a natural language search service that uses machine learning for improved accuracy in search results and the ability to search unstructured data. In this course, you will learn about the benefits, features, typical use cases, technical concepts, and costs of Amazon Kendra. Duration: 1.5 hours.--Publisher.
Description
This course introduces you to Amazon Comprehend, a new AWS service that helps with natural language processing. In this course, we discuss how Amazon Comprehend solves challenges like the exponential growth of unstructured text, explore the service’s five main capabilities, and review some popular use cases. We also demonstrate the service so you can see it in action.--Publisher.
Author
Description
"Futurists are certain that humanlike AI is on the horizon, but in fact engineers have no idea how to program human reasoning. AI reasons from statistical correlations across data sets, while common sense is based heavily on conjecture. Erik Larson argues that hyping existing methods will only hold us back from developing truly humanlike AI"--
Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we...
Author
Description
Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also...
Author
Description
Researchers at IBM launched a billion-dollar project to develop a machine that could compete in the quiz show Jeopardy--and win. The machine faced off in a high-ratings match against two former champions, Ken Jennings and Brad Rutter. Journalist Stephen Baker carries readers on a captivating journey from the IBM labs to the showdown in Hollywood. The story features brilliant Ph. D.s, Hollywood moguls, knowledge-obsessed Jeopardy masters--and a very...
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