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Koding & Kecerdasan Artifisial (Medium)

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Koding & Kecerdasan Artifisial (Medium)

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Quiz tentang AI dan pemrograman

Created by

Ni Luh Gede Astri Purnami
Ni Luh Gede Astri Purnami
Indonesia

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Koding & Kecerdasan Artifisial (Medium)
 

Koding & Kecerdasan Artifisial (Medium)Online version

Quiz tentang AI dan pemrograman

by Ni Luh Gede Astri Purnami
1

Apa itu pembelajaran mesin dalam AI?

2

Bahasa pemrograman apa yang sering dipakai untuk eksperimen ML?

3

Apa perbedaan supervised vs unsupervised learning?

4

Manakah contoh algoritma untuk klasifikasi?

5

Apa tujuan evaluasi model ML?

6

Apa itu overfitting?

7

Apa peran API dalam ML?

8

Apa itu neural network?

9

Mengapa data preprocessing penting?

10

Apa itu reinforcement learning?

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Pembelajaran mesin membuat model dari data, bukan sekadar mengikuti aturan baku.

Python karena ekosistemnya banyak library ML (TensorFlow, PyTorch).

Supervised membutuhkan label; unsupervised mencari pola tanpa label.

Logistic Regression umum untuk tugas klasifikasi; K-means untuk clustering.

Evaluasi menggunakan metrik seperti akurasi, presisi, recall, F1.

Overfitting terjadi saat model belajar noise data latihan.

API memungkinkan aplikasi lain melakukan prediksi dengan model.

Neural network meniru cara neuron digitally untuk pola kompleks.

preprocessing seperti normalisasi, nonifikasi meningkatkan performa.

RL belajar dari interaksi dengan lingkungan untuk memilih aksi.

 
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