Found 27104 Articles for Server Side Programming

In this article we will learn about variance and how to calculate the variance of list. You may have encountered this problem of finding the variance particularly in data science. So in this article we will learn how to find the variance. Variance This tells us how the data is spread, it gives us a measure of the degree of a set of points. We can calculate the variance of the list using various methods. Let’s learn about those methods. Method 1: Using the Statistics Module In this method we will use the built-in statistics model python for calculating the ... Read More

In this article we will learn about variable list slicing. As you know List slicing is very useful and powerful feature of Python using which we can cut out some specific portions of any list quickly. Python provides us various techniques and methods for slicing and extracting the elements based on some specific criteria or patterns. Take an example to understand − list number: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 33, 34, 56, 43, 67] We have list of some random numbers and suppose we want to slice some of the portion from the ... Read More

In this article we will learn about various methods using which we can find the uncommon element in the list of lists that means the element which is not present in the other list. When working with lists of lists in Python, it's common to encounter scenarios where you need to find the uncommon elements present in these nested structures. Finding the uncommon elements in lists of lists can be achieved using various methods and techniques. In this article, we will explore 8 examples and methods to help you easily identify the uncommon elements in your lists of lists. Example ... Read More

In this article we will learn about machine learning program which can find the word Analogy from the provided word. Take an example "Apple : fruit :: car :vehicle". In this analogy, "apple" and "car" are the two things being compared. "Fruit" and "vehicle" are the two categories that the things being compared belong to. The analogy is saying that apple is a type of fruit, just as car is a type of vehicle. So the human brain can identify the pattern but training machine to do the same task will be very difficult as we will require very very ... Read More

In this article we will learn about histograms and we will see detailed view about histogram and its various types. We will also draw see implementation using python. Histogram Histogram provides us visual representation of data, it is used to shows bar chart for numerical data. We can visualize the different distributions and patterns in the dataset. X-axis in the histogram is used to denote the range of values and the y-axis is used to denote the frequency or count of data points. Applications of Histogram 1. Analysis of Data Distribution We use histogram to analyze the data distribution and ... Read More

This article we will learn about ANN and its types. We will also see programs on different types of Activation. Before diving into the types let's get to know what ANN is. ANN Artificial neural network (ANN) is a branch of machine learning which performs computation by forming a structure of biological neural network where each neuron can transmit the signal or processed data to other connected neurons. This structure is similar to the human brain in which neurons are interconnected to each other. Neural network is created when a connection of nodes or neurons forms a connection. Artificial ... Read More

In this article you will learn about machine learning, image classification and how to use the googles teachable machine for training the models. Machine learning Machine learning is a subset of AI (artificial intelligence) which is used to develop the models and algorithms using which we can make our computers learn and make the decision without programming it explicitly. This is an effective way to teach machines to learn from the given data and improve the performance by time. Computers can learn the task and make predictions or find any pattern using data which shows the scenario about what we ... Read More

In this article we will learn about the role of Text to text Transfer Transformer technique in Data Augmentation and how we can use this technique to improve the NLP model. In the current tech scenario Natural Language Processing has observed very rapid advancement in data augmentation field. Data Augmentation is used to improve the performance of model which is based on natural language processing (NLP). There are many techniques available using which we can achieve this in which one technique is Text to Text Transfer Transformer(T5) technique. We can use this technique for performing multiple NLP tasks by using ... Read More

In this article we will learn about various methods using which we can find products of uneven size matrix columns. Working with matrices is very common for fields like data analysis, machine learning, so there can be situations where we have to find the matrix column product which can be a challenging task. Let’s see some examples for finding the uneven size matrix column product − Method 1: Using a Simple Loop In this method we will use the concept of simple nested loop and we will iterate through the matrix column and compute their products. Example def col_product_loop(mat): ... Read More

In this article, we'll examine a C++ procedure for ascendingly sorting an array of numerical string values. Sorting is a basic operation that entails organizing elements in a predetermined order. Because they are character-based strings that represent numbers, and these numerical strings provide a special set of challenges when it is related to sorting. The issue statement, a method and algorithm for solving it, a C++ implementation, a complexity reasoning of the provided approach, and a summary of the main points will all be covered. Problem Statement Consider a vector containing numerical strings, the aim is to arrange them in ... Read More