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Persiapan Pembuatan AI untuk Penelitian

CHECKLIST PERSIAPAN PEMBUATAN AI PENELITIAN

No Aspek Persiapan Komponen Penting Tools/Resource Status Keterangan
1 Konsep Dasar AI
  • Memahami Artificial Intelligence
  • Machine Learning fundamentals
  • Deep Learning concepts
  • Coursera: AI For Everyone
  • Google AI Education
□ Belum □ Proses □ Selesai
2 Bahasa Pemrograman
  • Python dasar
  • Library: NumPy, Pandas
  • Framework: TensorFlow/PyTorch
  • Python.org
  • Kaggle Learn
  • Google Colab
□ Belum □ Proses □ Selesai
3 Persiapan Data
  • Kumpulkan dataset
  • Data cleaning
  • Feature engineering
  • Kaggle Datasets
  • Google Dataset Search
  • OpenML
□ Belum □ Proses □ Selesai
4 Infrastruktur
  • Komputasi (CPU/GPU)
  • Penyimpanan data
  • Environment setup
  • Google Colab Pro
  • DigitalOcean/AWS
  • Docker
□ Belum □ Proses □ Selesai
5 Pengembangan Model
  • Pemilihan algoritma
  • Training model
  • Evaluasi performa
  • Scikit-learn
  • TensorFlow Hub
  • Hugging Face
□ Belum □ Proses □ Selesai
6 Dokumentasi
  • Catatan penelitian
  • Version control
  • Paper/report
  • Git/GitHub
  • Jupyter Notebook
  • Overleaf
□ Belum □ Proses □ Selesai

Petunjuk Penggunaan:

  1. Isi kolom Status dengan checklist (✔) sesuai progress
  2. Gunakan kolom Keterangan untuk catatan khusus
  3. Warna hijau untuk header, strip bergaris untuk readability

1 comment

  1. Silahkan Komen disini yang ingin password nya
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