
Quiz Machine Learning & Computer Vision
Authored by Rafli Zaki Rabbani
Other
University
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11 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 9 pts
Apa perbedaan antara supervised learning dan unsupervised learning?
Unsupervised learning membutuhkan output, sedangkan supervised learning tidak
Supervised learning tidak membutuhkan input, sedangkan unsupervised memerlukannya
Unsupervised learning tidak memerlukan model yang tersimpan, sedangkan supervised learning memerlukannya
Supervised learning membutuhkan data yang dilabeli, sedangkan unsupervised learning tidak
2.
MULTIPLE CHOICE QUESTION
45 sec • 11 pts
Apa itu "overfitting" dalam Machine Learning?
Ketika model terlalu cepat dalam melakukan prediksi
Ketika model bekerja sangat baik pada data training tetapi gagal pada data baru
Ketika model gagal mencapai akurasi tinggi pada data training
Ketika model terlalu sedikit memproses data, sehingga nilai prediksi berlebihan
3.
MULTIPLE CHOICE QUESTION
30 sec • 9 pts
Fungsi matematis yang menentukan apakah neuron harus diaktifkan atau tidak berdasarkan input yang diterima, disebut fungsi...
aktivasi
epoch
bias
weighting
4.
MULTIPLE CHOICE QUESTION
30 sec • 11 pts
Algoritma apa yang umum digunakan untuk mengenali objek dalam gambar (Computer Vision)?
Recurrent Neural Network (RNN)
Convolutional Neural Network (CNN)
Large Language Model (LLM)
Generative Adversarial Network (GAN)
5.
MULTIPLE CHOICE QUESTION
30 sec • 9 pts
Struktur data dasar yang digunakan untuk merepresentasikan dan menyimpan data multidimensional disebut...
Neuron
List
Tensor
Matriks
6.
MULTIPLE CHOICE QUESTION
30 sec • 11 pts
Manakah yang termasuk Unsupervised Learning
Regression & Clustering
Classification & Regression
Clustering dan Dimensionality Reduction
Classification & Dimensionality Reduction
7.
MULTIPLE CHOICE QUESTION
30 sec • 11 pts
Manakah yang termasuk Supervised Learning
Regression & Clustering
Classification & Regression
Clustering & Dimensionality Reduction
Classification & Dimensionality Reduction
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