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Introduction In this tutorial, we will learn the concept of c++ to find the sum of ASCII values of the characters present in the prime position. Prime position means characters whose position is 2, 3, 5, or any other prime number. ASCII (American Standard Code for Information Interchange) values are unique numerical values for alphabets, letters, punctuation marks, and other characters used in coding. It is used for communication with computers as the computer does not understand human language. There are 128 ASCII values starting from 0 to 127. Capital and small alphabets have separate ASCII values. We will develop ... Read More
Introduction In this tutorial, we develop an approach to finding the maximum length odd parity substring. Odd parity in a substring means the number of times 1 repeats in a string is odd. Parity in C++ defines the bit set number and is 1s in a number. There are two types of parity: even and odd. When the total number of “1” in a binary representation is odd it is known as an odd parity string. In this tutorial, we find the maximum length odd parity substring using C++ programming concepts. Implementation 1 String = 101100 Output = 6 ... Read More
Introduction In this tutorial, we discuss an approach to finding all possible palindrome substrings using the input string. To implement the approach for this task we use C++ programming language and its functions. A palindrome is a string that reads the same from the back and front. For example, Mom is a palindrome string. In this tutorial, we take a string and find all possible palindrome substrings from it. Example 1 String = abcaa Output The possible palindromic substrings are : a, b, c, aa, aaa, aba, and aca. In the above example, the input string can make ... Read More
In this tutorial, we learn how to count the character pair in a string whose ASCII value is the difference of K. K is any difference value, it can be either 1 or 0. Create a C++ code to count such character pairs in an input string S. We used the size() method of the String class Syntax size() = It is a String class method. It is an empty parameter library method. It returns the size of the string in terms of bytes. string_name.size() Example = s.size() ASCII values are predefined values for characters, symbols, ... Read More
Introduction In this tutorial, we will elaborate an approach for finding three non-overlapping substrings from a given string s, and when all substrings are combined together they form a palindrome. To solve this task we use the string class features of the C++ programming language. Palindrome in a string means the string reads the same in both forward and backward directions. The palindrome string example is Madam. Suppose there is a string "s" and the substrings are a, b, and c. When you combine a, b, and c, they form a palindrome string. Here is an example to understand the ... Read More
Introduction In this tutorial, we will implement an approach that counts how many times a particular character appears in a string using the Stream API in Java. A string is a collection of characters and we will use a String class method to separate string characters. We will take an input string and define a character we want to count. The functions used in this approach are the chars() method of the String class and the filter() method of the Stream interface. char() = It is a String class instance method. It returns the intstream values. The stream contains ... Read More
Java.lang.VerifyError is a runtime error which is ceated by JVM(Java virtual machine). During runtime a verification process happens to check the validity of loaded . class files, and if .class file violates any constraint then JVM will give Java.lang.VerifyError error. The following error is present in Java 1.0 version and onwards. java.lang.LinkageError extends Java.lang.VerifyError which refers to when there is a problem with the linking process of the program. Java.lang.VerifyError in the output will be look like: Exception in thread "main" java.lang.VerifyError: (class: com/example/Way2Class, method: myMethod signature: ()V) Incompatible argument to function at com.example.MyClass.main(MyClass.java:10) This ... Read More
Artificial intelligence's branch of machine learning gives computers the ability to learn from data and make judgments. A labeled dataset is used to train a model in supervised learning, whereas an unlabeled dataset is used in unsupervised learning. A neural network is used in unsupervised back propagation, a sort of unsupervised learning, to discover patterns in an unlabeled dataset. This blog article will outline unsupervised back propagation before moving on to practical Python code. What is unsupervised back propagation? Back propagation is a supervised learning method that modifies the weights of neural networks to reduce the discrepancy between predicted and ... Read More
Machine learning has attracted a lot more attention lately. GPUs, sometimes referred to as "graphics processing units, " are specialized computing systems that can continuously manage massive volumes of data. Therefore, GPUs are the ideal platform for machine learning applications. This post will explain how to get started while also exploring the several advantages of GPUs for machine learning. Benefits of using GPU Due to the following factors, GPU is an effective tool for speeding up machine learning workloads − Parallel Processing − arge-scale machine-learning method parallelization is made possible by the simultaneous multitasking characteristics of GPUs. As ... Read More
In order to recognize and classify emotions conveyed in a text, such as social media postings or product evaluations, sentiment analysis, a natural language processing approach, is essential. Businesses can enhance their offers and make data-driven decisions by using this capability to discover client attitudes towards their goods or services. A popular technique in sentiment analysis is called Term Frequency-Inverse Document Frequency (TF-IDF). It determines the significance of words inside a text in relation to the corpus as a whole, assisting in the identification of important phrases that express positive or negative moods. Algorithms for sentiment analysis can precisely categorize ... Read More