Model selection is the problem of choosing one from among a set of candidate models. It is common to choose…

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## XGBOOST vs LightGBM: Which algorithm wins the race !!!

GOSS (Gradient Based One Side Sampling) is a novel sampling method which downsamples the instances on the basis of gradients.…

Continue Reading## Demystifying Tensorflow Time Series: Local Linear Trend

Tensorflow time series uses a mean-field variational family for q(z). A mean-field family is a restriction on the relationship among…

Continue Reading## Gaussian Mixture Models Explained

Don’t worry. I’ll try to keep the notation as clean as possible for better understanding of the derivations. First, let’s…

Continue Reading## Security testing for REST API with w3af

There are two main ways:A web service may have an OpenAPI specification which describes all endpoints, parameters, responses, authentication schemes,…

Continue Reading## Transfer Learning with PyTorch

Transfer Learning with PyTorchGilbert AdjeiBlockedUnblockFollowFollowingFeb 20When we learn something in our daily lives, similar things become very easy to learn because—we…

Continue Reading## A Gentle Introduction to the Challenge of Training Deep Learning Neural Network Models

Deep learning neural networks learn a mapping function from inputs to outputs. This is achieved by updating the weights of…

Continue Reading## Maximum Likelihood Estimation

If you’re familiar with calculus, you’ll know that you can find the maximum of a function by taking its derivative…

Continue Reading## #CodeTidbits30

????Code NotesDay 1 ????2 Methods to Convert to true ArrayConvert Array-like to True Array | SamanthaMing. comwww. samanthaming. comDay 2 ????ES6: Shorthand…

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