SISTEM CERDAS
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Sistem Cerdas (Intelligent System)
Referensi
Materi Pengayaan dari UC Berkeley
1. Pendahuluan Sistem Cerdas: Artificial Intelligence (AI), Machine Learning (ML), dan Deep Learning (DL)
MATERI : Pengenalan Sistem Cerdas (AI)
MATERI VIDEO : Pengenalan Mata Kuliah Kecerdasan Buatan (AI)
MATERI : Aplikasi AI
Materi: Bias and Variance
What is a Turing Machine?
Video: Bias and Variance
Supervised VS Unsupervised Learning
Tugas: AI Secara Umum
Videos: StatQuest Playlist of Machine Learning
Diskusi Topik 1
2. Sistem Pakar (Expert System) & Bayes-Network
Materi: Sistem Pakar
Materi: Sistem Pakar 2
Materi: Forward & Backward Chaining Example
Quiz: Expert System
Expert System
Diskusi Topik 2
3. Search Algorithm : Uninformed Search & Informed Search
Materi: Search Algorithms (by WAC)
Materi: Un-Informed Search Algorithm, DFS-BFS-UCS (by RZD)
Materi: Dijkstra's algorithm vs A* (A star) algorithm
Python-Code : Dijkstra vs A* Search Algorithm
Materi: The difference between uniform-cost search and Dijkstra's algorithm?
Tugas: Dijkstra vs UCS
Tugas: Search (Contoh Kasus)
Tugas: A-Star Search
Uninformed and Informed Search
Diskusi Topik 3
4. Logika Samar/Fuzzy (Fuzzy Logic)
Materi Fuzzy Logic
Belajar Mudah Fuzzy Logic
An Introduction to Fuzzy Logic
Materi: Fuzzy Logic
Code: Fuzzy Inference System Implementation in Python
Diskusi Topik 4
5. Sistem Multi-Agen (Multi Agent System)
Materi: Multi-Agent Systems
Multi-Agent Hide and Seek
Diskusi Topik 5
Materi Ekstra: Multi-agent Reinforcement Learning (MARL) dan Cooperative AI
Tugas: Multi Agent System
Code: MARL Examples
6. Perangkat Lunak Pengembangan AI
Google Colab Tutorial for Beginners
Materi: Google Colab Tutorial
Materi: Tutorial Tensorflow
Get started with Google Colaboratory (Coding TensorFlow)
Python Tutorial With Google Colab
Diskusi Topik 6
7. Artificial Neural Networks (ANN) / Neural Networks (NN)
Materi: Neural Network
Materi: ANN #1
Materi: ANN #2
Neural Networks Pt. 1: Inside the Black Box
Neural Networks Pt. 2: Backpropagation Main Ideas
Neural Networks Pt. 3: ReLU In Action!!!
Neural Networks Pt. 4: Multiple Inputs and Outputs
Neural Networks Pt. 5: ArgMax and SoftMax
Neural Networks Pt. 6: Cross Entropy
Neural Networks Pt. 7: Cross Entropy Derivatives and Backpropagation
Tensorflow Playground
Materi Ekstra: Deep-Learning
Teknologi Terkini di bidang Deep-Learning
Tugas: Neural Networks, Playground Exercises
Diskusi Topik 7
8. Metaheuristics Algorithms: Genetic Algorithm
Materi: Genetic Algorithm
Genetic Algorithm
Code: Genetic Algorithm for Traveling Salesman Problem
Materi Ekstra: Genetic Algorithms
Codes: Genetic Algorithm on GitHub
Tugas: GA
Diskusi Topik 8
9. Metaheuristics Algorithms: Swarm AI (ACO & PSO)
What is Swarm AI?
What is Swarm Intelligence?
Materi Ant Colony Optimization
How the Ant Colony Optimization algorithm works
Tutorial Ant Colony Optimization
Tugas ACO : Resume Paper
Materi Particle Swarm Optimization
Particle Swarm Optimization
Simulation: Particle Swarm Optimization
Materi Ekstra: PSO
Tugas PSO : Review Paper
Diskusi Topik 9
Code: Particle Swarm Optimization
10. Berbagai Algoritma AI
Materi: Intro Algoritma AI
Materi: KNN
Materi: Naïve Bayes
Materi: Logistic Regression
Materi: Decision Tree & Random Forest
Materi: Support Vector Machine (SVM)
K-means clustering
K-nearest neighbors, Clearly Explained
Logistic Regression
Naive Bayes, Clearly Explained!!!
Decision Trees
Random Forests Part 1 - Building, Using and Evaluating
Random Forests Part 2: Missing data and clustering
Support Vector Machines Part 1 (of 3): Main Ideas!!!
Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)
Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3)
Image Classification with Convolutional Neural Networks (CNNs)
Materi SVM / SVC
Materi CNN dari MIT
Code: CNN
Materi Ekstra: Beginners Guide to Convolutional Neural Network with Implementation in Python
Optional: Regression Trees, Clearly Explained!!!
Diskusi Topik 10
11. Autoencoder, Generative Adversarial Networks & Convolutional Neural Network
Materi: AutoEncoder
Google Colab: Intro to Autoencoders
Simple Explanation of AutoEncoders
Materi Ekstra: Aplikasi-aplikasi GAN
Diskusi Topik 11
12. Tugas Besar
File Instruksi Tugas Besar
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TEI6A3-29135
Summary
SISTEM CERDAS
Teacher:
WILLY ANUGRAH CAHYADI
Teacher:
RIZKI ARDIANTO PRIRAMADHI
Teacher:
ARIF INDRA IRAWAN
Teacher:
NOR KUMALASARI CAECAR PRATIWI
Teacher:
DHONI PUTRA SETIAWAN