Implementing AI Using Cognitive Modeling

Artificial intelligence    |    Expert
  • 18 Videos | 44m 8s
  • Includes Assessment
  • Earns a Badge
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Cognitive modeling can provide additional human qualities to AI systems. It is traditionally used in cognitive machines and expert systems. However, with extra computing power, it can be applied to more profound AI approaches like neural networks and reinforcement learning systems. Knowledge of cognitive modeling applications is essential to any AI developer aspiring to design AI architectures and develop large-scale applications. In this course, you'll examine the role of cognitive modeling in AI development and its possible applications in NLP, image recognition, and neural networks. You'll outline core cognitive modeling concepts and significant industry use cases. You'll list open source cognitive modeling frameworks and explore cognitive machines, expert systems, and reinforcement learning in cognitive modeling. Finally, you'll use cognitive models to solve real-world problems.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the concept of cognitive modeling and its importance
    specify how cognitive modeling can be used in AI applications
    list companies that implement cognitive modeling approaches
    describe how to use cognitive modeling for natural language processing
    outline how to use cognitive modeling for image recognition
    identify how to use cognitive modeling with neural networks
    list open source cognitive modeling frameworks and describe their uses
    name some real-life use cases of cognitive modeling
  • define expert systems in terms of cognitive modeling
    describe cognitive machines and specify their use and importance
    describe the role of reinforcement learning in cognitive modeling
    determine ways in which AI can reason in a similar way to the human brain
    describe memory-augmented neural network architecture for learning complex tasks
    work with natural language processing techniques to develop a smart question answering (QA) system
    work with an AI system that can observe, reason, and predict tags for YouTube videos
    create an AI algorithm that can predict heart disease using MRI images
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 17s
    UP NEXT
  • Playable
    2. 
    What Is Cognitive Modeling?
    2m 59s
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    3. 
    Applications of Cognitive Modeling
    2m 32s
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    4. 
    Cognitive Models in Various Industries
    2m 50s
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    5. 
    Cognitive Modeling and NLP
    2m 32s
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    6. 
    Cognitive Modeling and Image Recognition
    3m 4s
    FREE ACCESS
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    7. 
    Cognitive Modeling and Neural Networks
    2m 54s
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    8. 
    Open Source Cognitive Modeling
    2m 3s
    FREE ACCESS
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    9. 
    Cognitive Modeling: Real-life Use Cases
    2m 19s
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    10. 
    What Are Expert Systems?
    2m 19s
    FREE ACCESS
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    11. 
    What Are Cognitive Machines?
    2m 25s
    FREE ACCESS
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    12. 
    Computational Agents: Reinforcement Learning
    1m 50s
    FREE ACCESS
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    13. 
    What Is AI Reasoning?
    1m 38s
    FREE ACCESS
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    14. 
    Differential Neural Computer
    1m 56s
    FREE ACCESS
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    15. 
    Question Answering System
    3m 37s
    FREE ACCESS
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    16. 
    YouTube Video Tag Prediction
    3m 26s
    FREE ACCESS
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    17. 
    Predicting Heart Disease Using MRI
    3m 50s
    FREE ACCESS
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    18. 
    Course Summary
    38s
    FREE ACCESS

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