Data Mining — MCQ প্রশ্ন

অনার্স CSE/ICT — BSc প্রশ্নব্যাংক · Data Mining। এই অধ্যায়ে মোট 321টি প্রশ্ন আছে। নিচে প্রথম 10টি প্রশ্ন ও অপশন দেওয়া হলো; সঠিক উত্তর সার্ভারে যাচাই হয়।

এই অধ্যায়ে সব প্রশ্নে অনুশীলন করুন

Adaptive system management is
1. it uses machine-learning techniques. here program can learn from past experience and adapt themselves to new situations.
2. computational procedure that takes some value as input and produces some value as output.
3. science of making machines performs tasks that would require intelligence when performed by humans.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Bayesian classifiers is
1. a class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
2. any mechanism employed by a learning system to constrain the search space of a hypothesis.
3. an approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Algorithm is
1. it uses machine-learning techniques. here program can learn from past experience and adapt themselves to new situations.
2. computational procedure that takes some value as input and produces some value as output.
3. science of making machines performs tasks that would require intelligence when performed by humans.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Bias is
1. a class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
2. any mechanism employed by a learning system to constrain the search space of a hypothesis.
3. an approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Background knowledge referred to
1. additional acquaintance used by a learning algorithm to facilitate the learning process.
2. a neural network that makes use of a hidden layer.
3. it is a form of automatic learning.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Case-based learning is
1. a class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
2. any mechanism employed by a learning system to constrain the search space of a hypothesis.
3. an approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Classification is
1. a subdivision of a set of examples into a number of classes.
2. a measure of the accuracy, of the classification of a concept that is given by a certain theory.
3. the task of assigning a classification to a set of examples
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Binary attribute are
1. this takes only two values. in general, these values will be 0 and 1 and .they can be coded as one bit
2. the natural environment of a certain species.
3. systems that can be used without knowledge of internal operations.
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Classification accuracy is
1. a subdivision of a set of examples into a number of classes
2. measure of the accuracy, of the classification of a concept that is given by a certain theory.
3. the task of assigning a classification to a set of examples
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।
Biotope are
1. this takes only two values. in general, these values will be 0 and 1 and they can be coded as one bit.
2. the natural environment of a certain species
3. systems that can be used without knowledge of internal operations
4. none of these
উত্তর যাচাই করতে প্র্যাকটিসে যান।

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