IF3170 Inteligensi Artifisial

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Overview

• Pendahuluan

  • AI Introduction
  • Intelligent Agent
  • Intelligent Agent (2)

• Local Search

  • Classical vs Local Search
  • State - Value, Successor, Neighbor
  • Hill Climbing
  • Simulated Annealing
  • Genetic Algorithm

• Adversarial Search

  • Pengantar Adversarial Search
  • Minimax Search
  • Alpha-beta Pruning

• Constraint Satisfaction Problem (CSP)

  • Terminologi dalam CSP
  • Inference dalam CSP
  • Backtracking Search untuk CSP
  • Interleaving Search dan Reference
  • Local Search Untuk CSP

• Kuis 1

  Materi: Pendahuluan - CSP
  • Pembahasan Kuis 1 2024.pdf
  • Pembahasan Kuis 1 2023.pdf

• Knowledge-Based System (KBS)

  • Pengantar Knowledge-Based System (KBS)
  • Knowledge-Based Agent
  • Arsitektur KBS
  • Representasi Pengetahuan dalam KBS
  • Knowledge Engineering

• Rule-Based System (RBS)

  Bagian dari Knowledge-Based System
  • Pengantar Rule-Based System (RBS)
  • Forward Chaining
  • Backward Chaining
  • Latihan Forward Chaining

• Intro to Learning

  • Pengenalan dan Arsitektur Learning Agent
  • Desain Learning Element dan Tipe Feedback
  • Konsep Supervised Learning
  • Studi Kasus Supervised Learning

• Data Science

  • Pengantar dan Fase Pemahaman Bisnis
  • Fase Pemahaman Data (Bagian A)
  • Fase Pemahaman Data (Bagian B)
  • Fase Persiapan Data (Bagian A)
  • Fase Persiapan Data (Bagian B)
  • Fase Pemodelan dan Evaluasi

• Supervised Learning - kNN, DTL, dan Prediction Measurement

  • Prediction Measurement

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  • k-Nearest Neighbour (kNN)
  • Decision Tree Learning (DTL) (ID3)
  • Isu di DTL

• Supervised Learning - Linear & Logres

  • Regresi Linear
  • Regresi Logistik
  • Pelatihan Regresi Logistik

• Supervised Learning - SVM

  • Pengenalan dan Konsep Dasar SVM
  • SVM Untuk Linearly Separable Data
  • SVM Untuk Non-Linearly Separable Data
  • Multi-class SVM

• Supervised Learning - BN & NB

  • Introduction to Bayesian Networks
  • Connection and Interdependence in BN
  • Inference and Classifications in BN
  • Learning in BN

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  • Naive Bayes Classifier

• Unsupervised Learning - Clustering

  • Dasar Clustering
  • Partitioning Clustering (K-Means)
  • Density-based Clustering (DBSCAN)
  • Cluster Evaluation

• Pengukuran Kinerja Model

  • Skema Validasi Model
  • Metrik Evaluasi Kinerja
  • Analisis Komparatif dan Uji Statistik
  • Strategi Evaluasi dan Etika

• Kuis 2 - Latsol Dosen

  Materi: kNN - Logres
  • Latihan KNN dan Performance Metrics
  • Latihan DTL 1
  • Latihan DTL 2
  • Latihan LogRes

• Kuis 2 - Latsol Mandiri - 1

  kNN, Prediction Measurement, DTL, DTL Issues
  • Latihan Kuis 2-1
  • Latihan Kuis 2-2
  • Latihan Kuis 2-3
  • Latihan Kuis 2-4
  • Simulasi Kuis 2 - 1

• Kuis 2 - Latsol Mandiri - 2

  Linear and Logistic Regression
  • Latihan Kuis 2 - 5
  • Latihan Kuis 2 - 6
  • Latihan Kuis 2 - 7
  • Latihan Kuis 2 - 8
  • Simulasi Kuis 2 - 2

• UAS

  • Latihan UAS IF3170