NPTEL FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE WEEK9 ASSIGNMENTS #nptel #artificialintelligencetechnology
ABOUT THE COURSE:
What does automatic scheduling or autonomous driving have in common with web search, speech recognition, and machine translation? These are complex real-world problems that span across various practices of engineering! Aim of artificial intelligence (AI) is to tackle these problems with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI.
INTENDED AUDIENCE: Final Year B.Tech; M.Tech and PhD
PREREQUISITES: Basic Course in Probability and Linear Algebra
Summary
Course Status : Ongoing
Course Type : Elective
Duration : 12 weeks
Category :
Multidisciplinary
Robotics
Credit Points : 3
Level : Postgraduate
Start Date : 22 Jul 2024
End Date : 11 Oct 2024
Enrollment Ends : 05 Aug 2024
Exam Registration Ends : 16 Aug 2024
Exam Date : 26 Oct 2024 IST
Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.
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Course layout
Week 1: AI and Problem Solving by Search
Week 2: Problem Solving by Search
Week 3: Problem Solving by Search
Week 4: Knowledge Representation and Reasoning
Week 5: Knowledge Representation and Reasoning
Week 6: Knowledge Representation and Reasoning
Week 7: Reasoning under Uncertainty
Week 8: Planning
Week 9: Planning and Decision Making
Week 10: Machine Learning
Week 11: Machine Learning
Week 12: Machine Learning
#swayamsolutions
#nptelindia
#nptelindia
#nptelcourses
#swayam
#engineering
#dbms
#nptelquiz
#nptelassignmentsolution
#nptelassignmentanswers
#nptelassignment
#nptelcourseanswers #nptelquiz
#nptelquizanswers
#nptelquizsolution
#swayamsolutions
#databasemanagementsystem
#databasemanagement
#cloudcomputing
#week1cloudcomputingnptel
#nptelanswers #nptellear
#artificialintelligence #generativeai
#machinelearning #machinelearningmodels
ABOUT THE COURSE:
What does automatic scheduling or autonomous driving have in common with web search, speech recognition, and machine translation? These are complex real-world problems that span across various practices of engineering! Aim of artificial intelligence (AI) is to tackle these problems with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI.
INTENDED AUDIENCE: Final Year B.Tech; M.Tech and PhD
PREREQUISITES: Basic Course in Probability and Linear Algebra
Summary
Course Status : Ongoing
Course Type : Elective
Duration : 12 weeks
Category :
Multidisciplinary
Robotics
Credit Points : 3
Level : Postgraduate
Start Date : 22 Jul 2024
End Date : 11 Oct 2024
Enrollment Ends : 05 Aug 2024
Exam Registration Ends : 16 Aug 2024
Exam Date : 26 Oct 2024 IST
Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.
FacebookXTeamsLinkedInWhatsAppShare
Course layout
Week 1: AI and Problem Solving by Search
Week 2: Problem Solving by Search
Week 3: Problem Solving by Search
Week 4: Knowledge Representation and Reasoning
Week 5: Knowledge Representation and Reasoning
Week 6: Knowledge Representation and Reasoning
Week 7: Reasoning under Uncertainty
Week 8: Planning
Week 9: Planning and Decision Making
Week 10: Machine Learning
Week 11: Machine Learning
Week 12: Machine Learning
#swayamsolutions
#nptelindia
#nptelindia
#nptelcourses
#swayam
#engineering
#dbms
#nptelquiz
#nptelassignmentsolution
#nptelassignmentanswers
#nptelassignment
#nptelcourseanswers #nptelquiz
#nptelquizanswers
#nptelquizsolution
#swayamsolutions
#databasemanagementsystem
#databasemanagement
#cloudcomputing
#week1cloudcomputingnptel
#nptelanswers #nptellear
#artificialintelligence #generativeai
#machinelearning #machinelearningmodels
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