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  • February 7, 2019Contributing

    How does data mask work?

    How does data mask work? Data masking works by shielding confidential data, such as credit card information, Social Security numbers, names, addresses, and phone numbers,…

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  • February 7, 2019Contributing

    How do you forecast a product?

    How do you forecast a product? To forecast by units, you predict how many units you’re going to sell each month—using the bottom-up method of…

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  • February 7, 2019Guidelines

    What are spiking neural networks good for?

    What are spiking neural networks good for? The 3rd generation of neural networks, spiking neural networks, aims to bridge the gap between neuroscience and machine…

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  • February 7, 2019Helpful tips

    How is decision tree pruned?

    How is decision tree pruned? Post-pruning (or just pruning) is the most common way of simplifying trees. Here, nodes and subtrees are replaced with leaves…

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  • February 7, 2019Contributing

    What are the features of dimensions?

    What are the features of dimensions? A dimension is a structure that categorizes data to enable users to answer business questions. Commonly used dimensions are…

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  • February 7, 2019Guidelines

    How do you deploy a model to cloud?

    How do you deploy a model to cloud? Deploying models Table of contents. Before you begin. Store your model in Cloud Storage. Set up your…

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  • February 7, 2019Miscellaneous

    How do you use Scikit learn Naive Bayes?

    How do you use Scikit learn Naive Bayes? Step 1: Calculate the prior probability for given class labels. Step 2: Find Likelihood probability with each…

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  • February 7, 2019Miscellaneous

    Which technique is used for credit card fraud detection?

    Which technique is used for credit card fraud detection? The most commonly techniques used fraud detection methods are Naïve Bayes (NB), Support Vector Machines (SVM),…

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  • February 7, 2019Helpful tips

    How long does it take to become proficient in machine learning?

    How long does it take to become proficient in machine learning? Usually, when you step up in machine learning, it will take approximately 6 months…

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  • February 7, 2019Blog

    What is the difference between GBM and XGBoost?

    What is the difference between GBM and XGBoost? Both xgboost and gbm follows the principle of gradient boosting. There are however, the difference in modeling…

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