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Natural Language Processing Solutions: An Introduction to Evaluate and Implementation
Microcredential
COURSE DESCRIPTION
Description:
Pay just $99 with discount code AI99
This select promotional offer is available for a limited time only and is subject to eligibility and availability. Additional terms may apply.
Course Description: This course focuses on the real-world uses of natural language processing systems, including the current capabilities of natural language processing systems and how NLP can be refined and improved.
Prerequisites: None
Learning Outcome:
– Describe the capabilities of existing NLP systems
– Analyze the gap that exists between a stated scenario and the existing capabilities of NLP systems
– Test solutions by measuring improvements introduced by NLP systems
| Module |
Topic & Readings |
| Module 1 |
History of Natural Language Processing
Words vs Concepts and Explicit vs Implicit
General Domain and Specific Domain |
| Module 2 |
Shallow NNs
Contextual Embeddings
LM Capabilities |
| Module 3 |
Testing in General
Factual Correctness and Reasoning
Intro into Prompt Learning and Engineering |
| Module 4 |
Capstone Reflection Project |
Faculty: Julia Rayz
Registration in this course is subject to the Purdue University Online Non-Credit Policies.
SECTION DETAILS
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Course Section
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Add to Cart
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Course:
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POL 605-00
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Term:
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26FY
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Section Number:
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1
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Schedule Number:
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29326
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Instructor(s):
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Staff
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Notes:
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Pay just $99 with discount code AI99
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