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MDU B.Tech 3rd Semester Artificial Intelligence Notes pdf

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Get the Premium Artificial Intelligence Notes for B.Tech 3rd Semester β€” a complete, exam-oriented and student-friendly PDF including 438 pages of neat handwritten explanations, typed summaries, diagrams, flowcharts, algorithms, solved examples and more.

Perfect for CSE, ITΒ  students preparing for Mid-Sem, End-Sem, Viva & Assignments.

Quick Details

Feature Details
Notes Name Artificial Intelligence Notes
Subject Artificial Intelligence Notes (AI)
Class/Semester B.Tech – 3rd Semester
Total Pages 438Β  High-Quality Pages
File Size Approximately 1.8 MB
File Format PDF (Portable Document Format)
Author Easy Study Notes
Language English
Notes Type Handwritten + Typed + Chapter-wise Summary
Edited For CSE / ITΒ  Students
Live Preview Available Below πŸ‘‡

Description

Understanding Artificial Intelligence Notes (AI) can be challenging due to complex reactions, mathematical concepts, and detailed diagrams. To make it easier for students, Easy Study Notes brings you the most complete, clean, and exam-ready Artificial Intelligence Notes PDF for B.Tech 3rd Semester.

These notes are crafted using a hybrid format:
βœ” Neat handwritten explanations
βœ” Cleanly typed chapter-wise summaries
βœ” Well-labeled diagrams
βœ” Flowcharts
βœ” Algorithm steps
βœ” Important definitions and formulas

Designed strictly as per the latest university curriculum followed by AKTU, RGPV, VTU, JNTU, MAKAUT, GTU, PTU, BPUT, and top Indian engineering universities.

Whether you are preparing for theory exams, class tests, practicals, or assignments, this PDF is your perfect study companion.

πŸ“‚ What’s Inside the PDF? (Full Syllabus Coverage)

βœ”SECTION I: Introduction:

  • Definition Of AI
  • History Of AI
  • Nature Of AI Problems
  • Examples Of AI Problems

Problem solving by search:

  • Uninformed Search:
  • Depth First Search (Dfs)
  • Breadth First Search (Bfs)
  • Informed Search:
  • Best First Search
  • A*. Local Search:
  • Hill Climbing

Problem Reduction Search:

  • AO*. Population Based Search:
  • Ant Colony Optimization
  • Genetic Algorithm
  • Game Playing: Min Max Algorithm
  • Alpha-Beta Pruning

SECTION-II: Knowledge Representation:

  • Types of Knowledge
  • Knowledge Representation Techniques/schemes:
  • Propositional Logic
  • Predicate Logic
  • Semantic nets
  • Frames
  • Knowledge representation issues. Rule based systems.

SECTION-III: Reasoning under Uncertainty:

  • Basics of Probability Theory
  • Probabilistic Reasoning
  • Bayesian Reasoning
  • Dempster-Shafer Theory
  • Planning:
  • Introduction to Planning
  • Representation of Planning
  • Partial-order Planning

 

SECTION-IV: Learning:

  • Introduction to Learning
  • Types of Learning:
  • Learning by Induction
  • Rote Learning
  • Symbol Based Learning
  • Identification Trees
  • Explanation Based Learning
  • Transformational Analogy
  • Introduction to Neural Networks
  • Expert Systems
  • Current trends in Artificial Intelligence

Bonus Content Included

Along with the main notes, you also get:

  • Unit-wise Important Questions
  • High-scoring Diagrams
  • One-Page Short Notes for Quick Revision

Who Should Buy This PDF?

This notes package is ideal for:

  • B.Tech (CSE / IT) Students
  • BCA / MCA Students learning Artificial Intelligence
  • Students preparing for semester exams
  • GATE aspirants (for basic fundamentals)
  • Anyone who wants easy explanations for Artificial Intelligence

Why Students Trust Easy Study Notes?

  • Clear handwriting
  • Simple language
  • Perfect exam format
  • 100% syllabus covered
  • Neatly scanned PDFs
  • Easy for last-minute revision
  • High exam retention value

 

πŸ“₯ Download Your PDF & Start Scoring Higher in Exams!

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