Implementing AI Using Cognitive Modeling

Artificial intelligence
  • 18 Videos | 52m 8s
  • Includes Assessment
  • Earns a Badge
Likes 3 Likes 3
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
  • Locked
    3. 
    Applications of Cognitive Modeling
    2m 32s
  • Locked
    4. 
    Cognitive Models in Various Industries
    2m 50s
  • Locked
    5. 
    Cognitive Modeling and NLP
    2m 32s
  • Locked
    6. 
    Cognitive Modeling and Image Recognition
    3m 4s
  • Locked
    7. 
    Cognitive Modeling and Neural Networks
    2m 54s
  • Locked
    8. 
    Open Source Cognitive Modeling
    2m 3s
  • Locked
    9. 
    Cognitive Modeling: Real-life Use Cases
    2m 19s
  • Locked
    10. 
    What Are Expert Systems?
    2m 19s
  • Locked
    11. 
    What Are Cognitive Machines?
    2m 25s
  • Locked
    12. 
    Computational Agents: Reinforcement Learning
    1m 50s
  • Locked
    13. 
    What Is AI Reasoning?
    1m 38s
  • Locked
    14. 
    Differential Neural Computer
    1m 56s
  • Locked
    15. 
    Question Answering System
    3m 37s
  • Locked
    16. 
    YouTube Video Tag Prediction
    3m 26s
  • Locked
    17. 
    Predicting Heart Disease Using MRI
    3m 50s
  • Locked
    18. 
    Course Summary
    38s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE