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    Pendahuluan: Kecerdasan Buatan (Artificial Intelligence)
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    Materi Pengayaan dari UC Berkeley
    1. Pendahuluan Sistem Cerdas: Artificial Intelligence (AI), Machine Learning (ML), dan Deep Learning (DL)
    Materi: Pengenalan Sistem Cerdas (AI)
    Pengenalan Mata Kuliah Kecerdasan Buatan (AI)
    Materi: Aplikasi AI
    What is a Turing Machine?
    Materi: Bias and Variance
    Video: Bias and Variance
    Supervised VS Unsupervised Learning
    Tugas: AI Secara Umum
    Videos: StatQuest Playlist of Machine Learning
    Diskusi Topik 1
    2. Algoritma Pencarian : 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
    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
    3. Sistem Pakar (Expert System)
    Materi: Sistem Pakar
    Materi: Sistem Pakar 2
    Materi: Forward & Backward Chaining Example
    Quiz: Expert System
    Expert System
    Diskusi Topik 2
    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. 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
    6. 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
    Code: Particle Swarm Optimization
    Diskusi Topik 9
    7. Sistem Multi-Agen (Multi Agent System)
    Materi: Multi-Agent Systems
    Multi-Agent Hide and Seek
    Materi Ekstra: Multi-agent Reinforcement Learning (MARL) dan Cooperative AI
    Tugas: Multi Agent System
    Code: MARL Examples
    Diskusi Topik 5
    8. 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
    9. 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
    10. 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
    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
    Tugas Sebelum UAS
    Tugas Sebelum UAS
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    KECERDASAN BUATAN

    • Teacher: M. DARFYMA PUTRA
    • Teacher: DANU DWI SANJOYO
    • Teacher: THOMHERT SUPRAPTO SIADARI

    CELOE

    Center of e-Learning and Open Education


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