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Derived relationships in Association Rule Mining are represented in the form of __________.

What is Gulpjs and some multiple choice questions on Gulp

cache Interview Questions Part1

__________ step of KDD process helps in identifying valuable patterns.

Which among the following is/are (an) Ensemble Classifier?

__________statistics provides the summary statistics of the data.

50 Latest questions on Azure

Clustering process works on _________ measure.

Classification predicts the value of __________ variable.

Spark Sql Questions and Answers

Which of the following association measure helps in identifying how frequently the item appears in a dataset?

Descriptive statistics is used in __________ datasets.

Identify the algorithm that works based on the concept of clustering.

More 53 questions on azure

Which among the following is/are (an) outlier detection method(s)?


  

 
What is the difference between the actual output and generated output known as? View:-205
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What is the difference between the actual output and generated output known as?
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Recurrent Neural Networks are best suited for Text Processing. View:-356
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Recurrent Neural Networks are best suited for Text Processing.
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Prediction Accuracy of a Neural Network depends on _______________ and ______________. View:-340
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Prediction Accuracy of a Neural Network depends on _______________ and ______________.
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Recurrent Networks work best for Speech Recognition. View:-371
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Recurrent Networks work best for Speech Recognition.
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(1)....
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GPU stands for __________. View:-195
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GPU stands for __________.
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(1)Graphics Processing Unit <....
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Gradient at a given layer is the product of all gradients at the previous layers. View:-300
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Gradient at a given layer is the product of all gradients at the previous layers.
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_____________________ is a Neural Nets way of classifying inputs. View:-757
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_____________________ is a Neural Nets way of classifying inputs.
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Name the component of a Neural Network where the true value of the input is not observed. View:-165
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Name the component of a Neural Network where the true value of the input is not observed.
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________________ works best for Image Data. View:-263
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________________ works best for Image Data.
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(1)AutoEncod....
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Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron. View:-261
Question Posted on 24 Mar 2020

Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron.
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In a Neural Network, all the edges and nodes have the same Weight and Bias values. View:-156
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In a Neural Network, all the edges and nodes have the same Weight and Bias values.
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_______________ is a recommended Model for Pattern Recognition in Unlabeled Data. View:-949
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_______________ is a recommended Model for Pattern Recognition in Unlabeled Data.
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Process of improving the accuracy of a Neural Network is called _______________. View:-1367
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Process of improving the accuracy of a Neural Network is called _______________.
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Data Collected from Survey results is an example of ___________________. View:-798
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Data Collected from Survey results is an example of ___________________.
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A Shallow Neural Network has only one hidden layer between Input and Output layers. View:-161
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A Shallow Neural Network has only one hidden layer between Input and Output layers.
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Support Vector Machines, Naive Bayes and Logistic Regression are used for solving View:-219
Question Posted on 24 Mar 2020

Support Vector Machines, Naive Bayes and Logistic Regression are used for solving

_________________....
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What does LSTM stand for? View:-96
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What does LSTM stand for?
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(1)Long Short Term Memory
....
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All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other. View:-89
Question Posted on 24 Mar 2020

All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.
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All the neurons in a convolution layer have different Weights and Biases. View:-264
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All the neurons in a convolution layer have different Weights and Biases.
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What is the method to overcome the Decay of Information through time in RNN known as? View:-85
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What is the method to overcome the Decay of Information through time in RNN known as?
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Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output. View:-134
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Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.
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A Deep Belief Network is a stack of Restricted Boltzmann Machines. View:-104
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A Deep Belief Network is a stack of Restricted Boltzmann Machines.
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Restricted Boltzmann Machine expects the data to be labeled for Training. View:-76
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Restricted Boltzmann Machine expects the data to be labeled for Training.
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What is the best Neural Network Model for Temporal Data? View:-91
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What is the best Neural Network Model for Temporal Data?
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RELU stands for ______________________________. View:-45
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RELU stands for ______________________________.
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(1)Recti....
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Why is the Pooling Layer used in a Convolution Neural Network? View:-71
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Why is the Pooling Layer used in a Convolution Neural Network?
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What are the two layers of a Restricted Boltzmann Machine called? View:-108
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What are the two layers of a Restricted Boltzmann Machine called?
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