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General
Nilai UTS dan UAS
Pengumpulan Slide Presentasi Akhir (maks 10 pages ppt slide)
Pengumpulan Video Presentasi Akhir (maks 10 menit)
Pengumpulan Laporan Akhir
Pengumpulan Laporan Kemajuan
Template Laporan Kemajuan dan Laporan Akhir
Project Update - 20 April 2021
Contoh Artikel 1
Contoh Artikel 2
Contoh Artikel 3
Quiz 1 (Kelas A)
Quiz 1 (Kelas B)
Solusi Kuis 1, Review Linear Regression, dan Gradient Descent Algorithm
Quiz 2 (Kelas A)
Quiz 2 (Kelas B)
Solusi Kuis 2
Draft Proposal (5%) - Due: 14 Feb
Revisi Proposal (10%) - Due: 21 Feb 18:00
Pengumpulan Slide Presentasi Proposal (1 page ppt slide)
Pengumpulan Video Presentasi Proposal (3 menit)
Final Proposal (15%) - Due: 7 Mar 18:00
Template PKM-Riset Kecerdasan Buatan
Pedoman PKM
Template Presentasi Proposal (3 menit - 1 page)
Nilai Proyek Kelompok
Form Kelompok dan Pilihan Project
Peer Review - Draft Proposal
Peer Review - Final Proposal
Pengumuman
Forum Project dan Diskusi Kuliah
Week 1: Introduction to Artificial Intelligence
[PRESENSI] Lec 01 - Introduction to Artificial Intelligence
Week 2: Python for AI and Machine Learning I: Regression Problem
[PRESENSI] Install Anaconda, Best Practise, and Data Extraction
[PRESENSI] Data Exploration
[PRESENSI] Data Preprocessing
[PRESENSI] Model Development and Evaluation
Week 3: Python for AI and Machine Learning II: Classification Problem
[PRESENSI] Classification (Prediction of Breast Cancer Diagnosis)
Week 4: Linear Regression and Multivariate Linear Regression
[PRESENSI] Lecture 4A - Linear Regression with One Variable
[PRESENSI] Lecture 4B - Multivariate Linear Regression
[PRESENSI] Video - Supervised Learning
[PRESENSI] Video - Linear Regression with One Variable - Model Representation
[PRESENSI] Video - Multivariate Linear Regression - Model Representation
Week 5: Logistic Regression
[PRESENSI] Lecture 05 - Logistic Regression
[PRESENSI] Video - Logistic Regression: Hypothesis Representation
[PRESENSI] Video - Logistic Regression: Non-Convex Function
[PRESENSI] Video - Logistic Regression: Convex Function
[PRESENSI] Video - Logistic Regression: Cost Function
[PRESENSI] Video - Logistic Regression: Gradient Descent
Week 6: Neural Networks I: Representation
[PRESENSI] Lecture 06 - Neural Network I: Representation
[PRESENSI] House Price Prediction (Week 2: Regression)
[PRESENSI] Breast Cancer Diagnosis (Week 3: Classification))
House Price Data
Breast Cancer Data
Week 7: Neural Networks II: Learning
[PRESENSI] Lecture 07 - Neural Network II: Learning
[PRESENSI] Exercise I - Linear and Logistic Regression
Week 9: Python for AI and Machine Learning III: Deep Learning (Case Study: Sentiment Analysis)
[PRESENSI] Lec 8 - Neural Net and Deep Learning: Case Study Sentiment Analysis
[PRESENSI] Video - Neural Net and Deep Learning: Case Study Sentiment Analysis
[PRESENSI] Code - Deep Learning with TRAX Framework
Week 10: Convolutional Neural Networks (CNN)
[PRESENSI] Lec 9 - Convolutional Neural Network (CNN)
[PRESENSI] Video - CNN Part 1
[PRESENSI] Video - CNN Part 2
[PRESENSI] Video - CNN Part 3
Week 11: CNN Part II
[PRESENSI] Lec 10 - CNN Part II: Case Studies
Week 12: Python for AI and Machine Learning IV: CNN
[PRESENSI] Code - CNN Implementation
Week 13: Recurrent Neural Network (RNN)
[PRESENSI] Lec 12 - Recurrent Neural Networks (RNN)
Week 14: RNN Part II
[PRESENSI] Annotated RNN
[PRESENSI] RNN Part I
[PRESENSI] RNN Part II
[PRESENSI] Exercise RNN
Presentasi Project Akhir
[PRESENSI] Presentasi Proyek Akhir
Final Exam
Ujian Akhir Semester
Ujian Perbaikan
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Course information
Kecerdasan Buatan
Teacher:
531141112024 Chandra Prasetyo Utomo
Teacher:
531141123046 Shindy Arti
Synchronous Meeting Type
:
Face-to-Face (Offline)
Skill Level
:
Beginner
