Cognitive Models: Approaches to Cognitive Learning
Artificial Intelligence
| Intermediate
- 13 Videos | 43m 10s
- Includes Assessment
- Earns a Badge
Practice plays an important role in AI development and helps one get familiarized with commonly used tools and frameworks. Knowing which methods to apply and when is critical to completing projects quickly and efficiently. Based on code examples provided, you will be able to quickly learn important cognitive modeling libraries and apply this knowledge to new projects in the field. In this course, you'll learn the essentials of working with cognitive models in a software system. First, you will get a detailed overview of each type of learning used in cognitive modeling. Further, you will learn about the toolset used for cognitive modeling with Python and recall which role cognitive models play in AI and business. Finally, you will go through various cognitive model implementations to develop skills necessary to implement cognitive modeling in real world.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursename and describe different types of cognitive learningdefine symbolic learning and describe examples of its usedefine sub-symbolic learning and describe multiple models used with this approachdefine hybrid learning and describe examples of its usespecify how AI has affected cognitive modeling and enhanced its powerdescribe and distinguish between different types of modeling tools
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work with popular NLP techniques to implement text understanding and decision-makingwork with EEG data to implement student’s confusion classifier with respect to MOOC’simplement human personality classifier based on online forums conversation using Myers Briggs Personality typesdescribe five dimensions commonly used to describe human personality and psycheimplement an interactive chat-bot capable of simple conversationsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 24sUP NEXT
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2.Types of Cognitive Learning1m 29s
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3.Symbolic Learning - Learning by Instruction2m 20s
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4.Sub-symbolic Learning - Learning by Example2m 13s
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5.Hybrid Learning1m 50s
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6.Effect of AI in Cognitive Model1m 52s
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7.Different Tools for Cognitive Modeling2m 4s
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8.Decision-making for Business7m 26s
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9.Predict Learner Confusion Using EEG Brainwave Data5m 16s
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10.Predicting Personality Types Based on Conversation6m 34s
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11.Analyzing Big Five Personality Traits4m 51s
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12.Building Simple Chatbot Using RASA3m 51s
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13.Course Summary1m
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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