May 1, 2024
4 minute read
When you hear the name Watson, you might immediately think of the American computer scientist and Nobel laureate James Dewey Watson. His historic contributions to the field of molecular biology and genetics culminated in his co-discovery of the structure of DNA. But what you mungkin not know is IBM also named its supercomputer and conversational AI platform after the renowned scientist.
What is Watson Assistant?
qibsdf|
Find a path to becoming a Watson Assistant. Learn more at:
OpenCourser.com/topic/qibsdf/watson
Reading list
We've selected nine 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
Watson Assistant.
Provides a comprehensive overview of conversational interfaces, covering topics such as natural language processing, speech recognition, and text-to-speech. It also includes case studies of real-world conversational interface deployments.
Provides a practical guide to designing and building bots, covering topics such as user research, persona development, and conversation flow. It also includes case studies of real-world bot deployments.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular open-source library for natural language processing in Python. It covers topics such as tokenization, parsing, and named entity recognition.
This handbook provides a comprehensive overview of natural language processing, covering a wide range of topics from theoretical foundations to practical applications. It is written by a team of leading researchers in the field.
This textbook provides a comprehensive overview of speech and language processing, covering topics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics. It is written by two leading researchers in the field.
Provides a practical guide to machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It is written by one of the leading researchers in the field and is based on his popular Coursera course.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is written by one of the leading researchers in the field and is based on his popular Coursera course.
Provides a comprehensive overview of reinforcement learning, covering topics such as Markov decision processes, value iteration, and policy iteration. It is written by one of the leading researchers in the field.
Provides a broad overview of the state of AI in China and the United States, covering topics such as the history of AI, the different approaches to AI development in China and the United States, and the implications of AI for the future of the world. It is written by a leading AI researcher and venture capitalist.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/qibsdf/watson
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