In this article, you will learn about typealias and its use cases in Swift, a programming language developed by Apple. A type alias allows you to provide a new name for an existing data type into your program. After a type alias is declared, the aliased name can be used instead of the existing type throughout the program. Type alias do not create new types. They simply provide a new name to an...
In this post, we demonstrate Keras implementation of the implicit collaborative filtering. We also introduce some techniques to improve the performance of the current model, including weight initialization, dynamic learning rate, early stopping callback etc. The implicit data For demonstration purposes, we use the dataset generated from negative samples using the technique mentioned in this post...
This is a quick guide for create and generate distribution package of your python project so that others can install, import and use in their projects. Prerequisites: You will need the following tools installed in your computer: Python (2.x/3.x)PipAPI key for uploading your package to distribution platform, such as test.pypi.org. After install python, you can install pip by using: curl -o get-pip...
Sometimes, we want to reduce the training time by using a subset of a very large dataset while the negative samples outnumbers the positive ones, e.g. word embedding. Another situation when we deal with implicit data. In this case, we may need to populate new data for negative values. This post demonstrates how to generate data for training using uniform negative sampling. The data Originally...
In this article, we review some common metrics and their uses for two main ML problems, i.e. regression and classification. Regression Metrics Most of the blogs have focussed on classification metrics like precision, recall, AUC etc. For a change, I wanted to explore all kinds of metrics including those used in regression as well. MAE and RMSE are the two most popular metrics for continuous...