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Machine Learning TI-GENAP 2025/2026
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Selamat Datang di Kelas Machine Learning
Trends in Cloud Computing
Ketentuan Pengiriman Tugas (Assignment)
[01] Welcome to AWS Academy Machine Learning Foundations
Student Guide 01 (PDF)
Module 2 Knowledge Check
[02] Introducing Machine Learning
Student Guide 02 (PDF)
Module 3 Knowledge Check
[03] Implementing a Machine Learning pipeline with Amazon SageMaker
Student Guide 03 (PDF)
Module 4 Knowledge Check
Kemandirian-01
Machine Learning Foundation #03: Formulating Machine Learning Problems + Collecting and Securing Data
Machine Learning Foundation #03: Evaluating your data
Machine Learning Foundation #03: Feature engineering
[04] Introducing Forecasting
Student Guide 04 (PDF)
Module 5 Knowledge Check
[05] Introducing Computer Vision (CV)
Student Guide 05 (PDF)
Module 6 Knowledge Check
[06] Introducing Natural Language Processing
Student Guide 06 (PDF)
Module 7 Knowledge Check
[07] Introducing Generative AI
Student Guide 07 (PDF)
Lab 2.1 - Applying ML to an NLP problem
[08] UTS
Student Guide 08 (PDF)
Machine Learning for NLP: Lab - 3.1 - Extracting Text from The Web
UTS : Lab 3.3 - Encoding and Vectorizing Text
Kemandirian-02
[09] Introduction to Natural Language Processing (NLP)
Trends in Cloud Computing
Student Guide – Welcome to AWS Academy NLP
Student Guide – Introduction to Natural Language Processing (NLP)
Lab 4.1 - Implementing Sentiment Analysis
[10] Processing Text for NLP
Student Guide – Processing Text for NLP
Lab 5.1 - Implementing Information Extraction
[11] Implementing Sentiment Analysis
Student Guide – Implementing Sentiment Analysis
Lab 5.2 - Working with Entities
[12] Introducing Information Extraction
Student Guide – Introducing Information Extraction
Lab 6.1 - Implementing Topic Modeling with Amazon Comprehend
[13] Introducing Topic Modeling
Student Guide – Introducing Topic Modeling
Lab 6.2 - Implementing Topic Modeling with NTM
Kemandirian-03
[14] Working with Languages
Student Guide – Working with Languages
Lab 6.3 - Implementing Topic Modeling
[15] Working with Generative AI
Student Guide – Working with Generative AI
Lab 7.1 - Implementing a Multi-lingual Solution
[16] UAS
Student Guide
Course Wrap-up
UAS: Capstone Project
Kemandirian-04
Rekaman Tatap Maya
S1 PJJ Informatika - Machine Learning (Ganjil, 2024/2025 – 2024/10/05 15:31 WIB)
S1 PJJ Informatika - Machine Learning (Ganjil, 2024/2025 – 2024/10/10 18:32 WIB)
Machine Learning #01 (Genap, 2024/2025 - 06 Maret 2025 15:25 WIB)
Machine Learning for NLP: Lab 2.1 - Applying ML to an NLP problem (06 Maret 2025 12:55 WIB)
Rekaman Tatap Maya Dosen 1
Rekaman Tatap Maya Dosen 2
Rekaman Tatap Maya Dosen 3
EVALUASI DOSEN OLEH MAHASISWA
Survey Evaluasi
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Course information
Machine Learning TI-GENAP 2025/2026
Teacher:
Andi Sugandi, M.Kom
Skill Level
:
Beginner
