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Basic ML and DL

Authored by Arjun Aji

Professional Development

Professional Development

Used 2+ times

Basic ML and DL
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13 questions

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1.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

library yang digunakan untuk melakukan data processing data, melatih dan melakukan memprediksi adalah ...

pandas

seaborn

scikit-learn

swagger

2.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

kemampuan untuk belajar tanpa diprogram secara eksplisit dalam scope yang sempit disebut ...

AGI

ANI

API

ASI

3.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

Pembelajaran dengan label termasuk dalam bentuk

universal learning

local learning

supervised learning

unsupervised learning

4.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

unsupervised learning adalah ...

pembelajaran tanpa kendali

pembelajaran tanpa operasi

pembelajaran dengan supervisi

pembelajaran tanpa pengawasan

5.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

yang termasuk supervised learning adalah, kecuali

regression

logistic regression

classification

clustering

6.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

Berikut termasuk teknik clustering ...

KNN

K-Means

Regression

Logistic Regression

7.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

dalam fungsi linear-regression, tugas yang dikerjakan adalah ...

perscriptive

predictive

Classification

Clustering

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