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Articles on Trending Technologies
Technical articles with clear explanations and examples
Techniques to find similarities in recommendation system
Introduction Similarity metrics are crucial in Recommendation Systems to find users with similar behavior, pattern, or taste. Nowadays Recommendation systems are found in lots of useful applications such as Movie Recommendations as in Netflix, Product Recommendations as in Ecommerce, Amazon, etc. Organizations use preference matrices to capture use behavioral and feedback data on products on specific attributes. They also capture the sequence and trend of users purchasing products and users with similar behavior are captured in the process. In this article, let's understand in brief the idea behind a recommendation system and explore the similar techniques and measures involved in ...
Read MoreLimitations of fixed basis function
Introduction Fixed basis functions are functions that help us to extend linear models in Machine Learning, by taking linear combinations of nonlinear functions. Since Linear models depend on the linear combination of parameters, they suffer a significant limitation. The radial function thus helps model such a group of models by utilizing non-linearity in the data while keeping the parameters linear. Different linear combinations of the fixed basis functions are used within the linear regression by creating complex functions. In this article let us look into the fixed basis function and its limitations Fixed Basis function A linear regression model ...
Read MoreTaiga.io Alternatives
What is Taiga.io? Taiga is a project management software which works on Kanban and Scrum frameworks. It is an open-source software which can be used to manage tasks, projects, and bugs. The platform is easy to use for beginners and experts. It can be used through its web-based as well as on-premise interface. The on-premise interface is suitable for large teams. Why Taiga.io alternatives? Task and project management is difficult Need to learn the working of the app Free tier has limited features How to choose a Taiga.io Alternative? There are many advantages of Taiga and some of ...
Read MoreHandling sparsity issues in recommendation system
Introduction In Recommendation Systems, Collaborative filtering is one of the approaches to building a model and finding seminaries between users. This concept is highly used in Ecommerce sites and OTT and video-sharing platforms. One of the highly talked about issues that such systems face while in the initial modeling phase is that of data sparsity, which occurs when only a few users give ratings or reviews on the platform and are in any way involved in the interaction. In this article let us understand the problem of data sparsity in the Recommendation System and know about ways to handle it. ...
Read MoreDifference Between Training and Testing Data
Introduction In Machine Learning, a good model is generated if we have a good representation and amount of data. Data may be divided into different sets that serve a different purposes while training a model. Two very useful and common sets of data are the training and testing set. The training set is the part of the original dataset used to train the model and find a good fit. Testing data is part of the original data used to validate the model train and analyze the metrics calculated. In this article lets us explore training and testing data sets in ...
Read MoreCreate linked list from a given array in C++ Program
In this tutorial, we are going to learn how to create a linked list from the given array.Let's see the steps to solve the problem.Initialize the array with dummy data.Write the struct node.Iterate over the array.Create a new node with the data.Insert the new node into the linked list.Print the linked list.ExampleLet's see the code.#include using namespace std; struct Node { int data; Node* next; }; struct Node* newNode(int data) { Node* node = new Node; node->data = data; node->next = NULL; return node; } void insertNewNode(Node** root, int data) { Node* ...
Read MoreStructs in Arduino program
A struct is simply a collection of different types of variable. Structs in Arduino mimic the structs in C language. So, if you are familiar with C structs, Arduino structs shouldn’t be an issue. The struct declaration syntax is as follows −Syntaxstruct structName{ item1_type item1_name; item2_type item2_name; . . . itemN_type itemN_name; }An example is given below −Examplestruct student{ String name; int age; int roll_no; }The elements of a struct are accessed using the . (dot) notation. This notation can be used for both reading the elements of a struct, or changing ...
Read MoreDifferences between Procedural and Object Oriented Programming
Both Procedural Programming and Object Oriented Programming are high-level languages in programming world and are widely used in the development of applications. On the basis of nature of developing the code, both languages have different approaches on basis of which both are differentiate from each other. In this article, we will discuss the important differences between procedural oriented programming and object oriented programming. But before going into the differences, let's start with some basics. What is Procedural Programming? Procedural Programming is a programming language that follows a step-by-step approach to break down a task into a collection of variables ...
Read MoreHow to use xPath in Selenium WebDriver to grab SVG elements?
We can use xpath to grab SVG elements with Selenium Webdriver. A SVG element is identified with tagname svg. The svg image has the attributes like width and height attributes.Let us investigate the html code of a svg element.To create a xpath for a svg element, we have the syntax as //*[local-name()='svg'].The local-name function is mandatory for creating a xpath of a svg element. So for the xpath expression for the image highlighted in the above image should be −//*[local-name()='svg' and @data-icon='home']/*[local-name()='path']Here, data-icon is an attribute of the svg tag element which is added accompanied with @ symbol. The [local-name()='path'] is ...
Read MoreDifference between Static and Dynamic Hashing
Hashing is a computation technique in which hashing functions take variable-length data as input and issue a shortened fixed-length data as output. The output data is often called a "Hash Code", "Key", or simply "Hash". The data on which hashing works is called a "Data Bucket". Characteristics of Hashing Technique Hashing techniques come with the following characteristics − The first characteristic is, hashing technique is deterministic. Means, whatever number of times you invoke the function on the same test variable, it delivers the same fixed-length result. The second characteristic is its unidirectional action. There is no way you can ...
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