Analitika Bisnis (B)
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Course data
Course Overview
Announcements
Week 01
Synchronous Meeting Week 01A (RK)
Pendahuluan
Synchronous Meeting: Week 01B (AM)
Lecture Note Week 01B: Business Analytics An Overview
Week 02
PPT Model Pembelajaran Mesin
Visualisasi Data
Synchronous Meeting Week 02A (RK) Zoom Meeting
Lecture Note Week 02B: Predictive Analytics - Machine learning Overview
Minggu ke-2b: Model Linear
Minggu ke-3a: Evaluasi Kinerja
MInggu ke-3b: Evaluasi kinerja (lanjutan)
Week 03 : Data Preparation
Reduksi dimensi
Praktik reduksi dimensi
Synchronous Meeting Week 03A (RK)
Feature Extraction via Principal Component Analysis (PCA)
Synchronous Meeting Week 03A (RK) - Evening Session
Lecture Note Week 03B: Feature Engineering
Week 04: Linear Model
AB 04 Linear Model
Synchronous
Linear Regression on Iris Data
Coursework 01: linear Regression
Week 05: Performance Evaluation and Classification
Synchronized Meeting Week 04A (RK)
AB05 Performance Evaluation of Classification Tasks
Performance Evaluation Example
Minggu ke-5b: Clustering dengan algoritma Agglomerative
Week 06: Classification Algorithms
Naive Bayes
Naive Bayes (lanjutan)
Latihan Naive Bayes di kelas
Video Youtube : Naive Bayes
Synchronous Meeting
AB06_A Naive Bayes
Blanko Latihan Naive Bayes
Synchronous Meeting: Week 01B (AM)
MInggu ke-7: Bayes
Week 07: Perceptron
Synchronous Meeting Week 07 RK
AB07 Perceptron
Coursework 02: ANN-Perceptron
Week 08
Midterm Examination Simulation
Midterm Examination Real Test
Week 09 - ANN 2: MULTILAYER PERCEPTRONS
Pertemuan 9: Artificial Neural Network (ANN)
Perceptron
Link Youtube: Model Perceptron
Synchronous Meeting: Week 09A (RK)
AB09 ANN 2 - Multilayer Perceptron and Backpropagation
Exercise Feedforward Multilayer Perceptron
Synchronous Meeting: Week 06B (AM)
Coursework 03: ANN-Backpropagation
MInggu ke-10: Multilayer Perceptron
Week 10: Support Vector Machine (SVM)
Synchronous Meeting: Week 10A (RK)
AB10 Support Vector Machines
Synchronous Meeting: Week 09B (AM)
Coursework 04 Support Vector Machine
Week 11: Unsupervised Learning and Distance Metrices
Analisis kluster
Clustering
Praktik Clustering
Melakukan clustering secara manual dengan K-Means : Youtube
Synchronous Meeting: Week 11A (RK) Zoom meeting
AB11 Unsupervised Learning and Distance Metrices
Week 12: Clustering Techniques
Synchronous Meeting
AB12 - K-Means Clustering
Minggu ke-12: Association rule and collaborative learning
Week 13: Clustering (2) & Association Analysis
AB12b - Partitional and Hierarchical Clustering
AB13 - Association Analysis and Collaborative Filtering
Syn
Week 14: Ensemble Learning
AB14 - Ensemble Learning
Praktik Ensemble
Synchronous Meeting: Week 14A (RK)
Coursework 05: Hands-on : Machine Learning with Python
Week 15: Introduction to Deep Learning
Praktik deep learning
Praktik deep learning dengan Python
Synchronous Meeting Week 15A
AB15a - Introduction to Deep Learning
AB15b - Introduction to CNN
Week 16 - FInal Project Presentation
Synchronous Meeting: Week 09B (AM)
Final Project Report Submission
Final Project Presentation Slide Submission
Final Project Peer Evaluation Form Submission
Next
Side panel
Panduan Dosen
Unduh PDF
[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
Unduh PDF
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Analitika Bisnis (B)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 SISTEM INFORMASI
Semester Gasal 2021/2022
Analitika Bisnis (B)
Summary
Analitika Bisnis (B)
Teacher:
Ahmad Muklason
Teacher:
Renny Pradina Kusumawardani