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  • February 25, 2019Popular

    Is it possible that assignment to clusters does not change between successive iterations in k-means options?

    Is it possible that assignment to clusters does not change between successive iterations in k-means options? When the K-Means algorithm has reached the local or…

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  • February 25, 2019Blog

    How can you prevent gradient descent from getting stuck in local optima?

    How can you prevent gradient descent from getting stuck in local optima? Momentum, simply put, adds a fraction of the past weight update to the…

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  • February 25, 2019Contributing

    Can you use binary variables in KNN?

    Can you use binary variables in KNN? Yes, you certainly can use KNN with both binary and continuous data, but there are some important considerations…

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  • February 25, 2019Blog

    What is the best book ever written on regression modeling?

    What is the best book ever written on regression modeling? Harrell Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer…

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  • February 25, 2019Blog

    How do you calculate steady-state probability in Markov chain?

    How do you calculate steady-state probability in Markov chain? To compute the steady state vector, solve the following linear system for , the steady-state vector…

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  • February 25, 2019Contributing

    How do you calculate probable value?

    How do you calculate probable value? In statistics and probability analysis, the expected value is calculated by multiplying each of the possible outcomes by the…

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  • February 25, 2019Contributing

    How do you find the probability of rolling a 6?

    How do you find the probability of rolling a 6? So to get a 6 when rolling a six-sided die, probability = 1 ÷ 6…

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  • February 25, 2019Blog

    Can a data set have no variability?

    Can a data set have no variability? In other words, variability measures how much your scores differ from each other. Variability is also referred to…

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  • February 25, 2019Miscellaneous

    Which initialization method is used in K-means clustering?

    Which initialization method is used in K-means clustering? The Naive Sharding Centroid Initialization Algorithm Classical k-means clustering utilizes random centroid initialization. In order for randomization…

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  • February 25, 2019Popular

    What is the best optimizer for sparse data?

    What is the best optimizer for sparse data? Which optimizer should I use? If the input data is sparse, the best results will come from…

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