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  • January 15, 2019Helpful tips

    What is a cross-selling model?

    What is a cross-selling model? Cross-sell involves the sale of multiple products offered by a single product/service provider to a new or existing customer. Up-sell…

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  • January 15, 2019Guidelines

    How long does it take to train a doc2vec model?

    How long does it take to train a doc2vec model? The idea is to train doc2vec model using gensim v2 and python2 from text document.…

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  • January 15, 2019Popular

    How does a hidden Markov model work?

    How does a hidden Markov model work? The Hidden Markov Model (HMM) is a relatively simple way to model sequential data. A hidden Markov model…

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  • January 15, 2019Popular

    What can you do if your model has a high variance?

    What can you do if your model has a high variance? How to Fix High Variance? You can reduce High variance, by reducing the number…

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  • January 15, 2019Blog

    What is watermark in deep learning?

    What is watermark in deep learning? Abstract—Digital image watermarking is the process of embedding and extracting watermark covertly on a carrier image. Incorporating deep learning…

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  • January 15, 2019Miscellaneous

    What is CNN prediction?

    What is CNN prediction? Convolutional Neural Network models, or CNNs for short, can be applied to time series forecasting. There are many types of CNN…

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  • January 15, 2019Helpful tips

    How are machine learning algorithms used to make predictions?

    How are machine learning algorithms used to make predictions? Let’s get started. Machine learning algorithms are described as learning a target function (f) that best…

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  • January 15, 2019Popular

    How to iterate over all columns in a Dataframe?

    How to iterate over all columns in a Dataframe? Dataframe class provides a member function iteritems () which gives an iterator that can be utilized…

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  • January 15, 2019Popular

    Why do we need dual problems in SVM?

    Why do we need dual problems in SVM? In mathematical optimization theory, duality means that optimization problems may be viewed from either of two perspectives,…

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  • January 15, 2019Helpful tips

    What is the meaning of OLS?

    What is the meaning of OLS? ordinary least squares In statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating…

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