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Worksheetstusgai_sedew_nemelt
Total questions: 25
Worksheet time: 13mins
Хиймэл оюуны зорилго юу вэ?
To extract scientific causes
To solve artificial problems
To explain various sorts of intelligence
To solve real-world problems
Point out the wrong statement.
none of the mentioned
k-nearest neighbor is same as k-means
k-means clustering is a method of vector quantization
k-means clustering aims to partition n observations into k clusters
What can we use in Hierarchical Clustering to find the right number of clusters?
The Elbow Method
Decision Trees
Histograms
Dendrograms
Which of the following is required by K-means clustering?
initial guess as to cluster centroids
number of clusters
all of the mentioned
defined distance metric
Linear Regression is mostly used for finding out the relationship between_____.
both a and b
none of these
forecasting
variables
Which of the following methods do we use to find the best fit line for data in Linear Regression?
Both A and B’
Least Square Error
Logarithmic Loss
Maximum Likelihood
Regression technique finds out a linear relationship between x (input) and y(output) hence it is called as _________.
Related regression
none of these
Linear Regression
Hypothesis function
Хүн зарим газар очиж үзэхийг хүсдэг. Тэр нэг оройгоос эхэлж, дараа нь энэ оройтой холбогдсон газар болгонд очиж үзэхийг хүссэн. Түүнд ямар алгоритм ашиглах нь хамгийн тохиромжтой вэ?
Breadth First Search
A* algorithm
Depth First Search
Generate and Test Search
Which is used to improve the performance of heuristic search?
Quality of heuristic function
Simple form of nodes
None of the mentioned
Quality of nodes
Which search strategy is also called as blind search?
All of the mentioned
Uninformed search
Simple reflex search
Informed search
_________ approach uses the rewarding method for machine learning.
Unsupervised
Reinforcement
None of the above
Supervised
Which of the following is required by K-means clustering?
Initial guess as to cluster centroids
Number of clusters
Defined distance metric
All of the above
Agglomerative has _________ approach.
None of these
Top down
Down up
Bottom up
__________clusters formed in this method forms a tree-type structure based on the hierarchy.
Hierarchical Based
Density-Based
None of these
Grid-based
Machine learning approach, which build a model based on sample data, is known as ________.
Supervised
Unsupervised
Reinforcement
None of the above
Justify the statement. “Preprocessing is the process of converting raw data into data which will be suitable for machine learning”.
FALSE
True
Which of the following dataset is used for supervised machine learning?
Testing dataset
Training dataset
Validation dataset
All the above
Which of the following clustering algorithm requires the number of clusters to be pre-specified?
Markov clustering algorithm
DBSCAN
hierarchical clustering
k-means clustering
Decision-tree algorithm falls under the category of ________.
Reinforcement learning algorithm
Prone to errors in classification problems with many class
Supervised learning algorithms
Unsupervised learning algorithms
Decision tree is the most powerful for ________.
Prediction
Classification
none of these
Шийдвэрийн модыг __________-д ашигладаг
Ангилал
Регресс
Кластер
Энтропи=0 юуг илэрхийлэх вэ?
Мэдээлэл байхгүй
Өгөгдлүүд бүх ангид тэнцүү хэмжээтэй хуваарилагдсан
Өгөгдлүүд нэг ангид байна
Нейрон сүлжээний үндсэн хэсэг болох нейрон юу хийдэг вэ?
Оролт дээр үржүүлэх үйлдлийг гүйцэтгэдэг
Оролтуудын хамгийн их утгыг олж, түүнийг гаргадаг
Оролтуудын жигнэсэн нийлбэрийг тооцоолж, энэ нийлбэрийн утгыг шугаман бус функцээр хувиргаж гаргана
0-ээс 1-ийн хоорондох санамсаргүй тоог үүсгэж, энэ тоог гаргана
Хяналтгүй сургалтыг ________ -д ашигладаг
Регресс
Кластер
Ангилал
Хиймэл оюун ухаан, машин сургалтын ялгаа юу вэ?
Машин суралгалт нь хиймэл оюун ухааны дэд хэсэг бөгөөд гол зорилго нь ямар нэг зүйлийг өөрсдөө хийж сурах алгоритмыг хөгжүүлэх явдал
Хиймэл оюун ухаан нь тоглоом тоглох алгоритм боловсруулах гол зорилготой бөгөөд машин сургалтын дэд хэсэг юм
Хиймэл оюун ухаан, машин сургалт нь ижил зүйл
Хиймэл оюун ухааны алгоритм нь үргэлж өгөгдөл шаарддаг
