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Q. Which of the following algorithm comes under the classification
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What are the steps for using a gradient descent algorithm? 1. Calculate error between the actual value and the predicted value 2. Reiterate until you find the best weights of network 3. Pass an input through the network and get values from output layer 4. Initialize random weight and bias 5. Go to each neurons which contributes to the error and change its respective values to reduce the error
100 people are at party. Given data gives information about how many wear pink or not, and if a man or not. Imagine a pink wearing guest leaves, what is the probability of being a man
What is PCA, KPCA and ICA used for?
What does learning exactly mean?
The properties() method is a
Database query is used to uncover this type of knowledge.
What is gini index?
Features being classified is . . . . . . . . of each other in Nave Bayes Classifier
which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.
Which of the following quantities are minimized directly or indirectly during parameter estimation in Gaussian distribution Model?
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