Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Server Side Programming Articles
Page 1577 of 2109
Construct a K-length binary string from an array based on given conditions
In this tutorial, we require to construct a binary string of length K such that it should contain ‘1’ at the ith index if a subset-sum equal to I is possible using array elements. We will learn two approaches to solving the problem. In the first approach, we will use a dynamic programming approach to check whether the subset sum equal to index ‘I’ is possible. In the second approach, we will use a bitset to find all possible sums using array elements. Problem statement − We have given an array containing N integers. Also, we have given integer M ...
Read MoreCheck if a string can be split into 3 substrings such that one of them is a substring of the other two
In this problem, we need to split the given string in such a way that the third substring can be a substring of the first two substrings. Let’s think about the solution. The third string can be a substring of the first two string only if the first two string contains all characters of the third string. So, we need to find at least one character in the given string with a frequency of more than 3, and we can take the third substring of the single character. Problem statement − We have given a string str containing the N ...
Read MoreCheck if a Binary String can be sorted in decreasing order by removing non-adjacent characters
In this problem, we need to sort the given binary string in decreasing order by removing only non-adjacent elements. To solve the problem, we require to remove all zeros which are placed before ones in the binary string. If we find two consecutive ones after two consecutive zeros at any position in the string, it means we can’t sort the string in decreasing order. Otherwise, we can sort it out in each case. Problem statement − We have given binary string str with a length equal to N. We need to check whether we can sort the given string in ...
Read MoreMinimum prefixes required to be flipped to convert a Binary String to another
In this problem, we need to convert the first binary string to the second binary string by flipping the prefix of the first string. To get the minimum prefix flip, we require to iterate through the end of the string, and if we find mismatched characters in both strings, we need to flip the prefix of the first string. Problem statement − We have given two different binary strings called first and second. The length of both binary strings is equal, which is N. We need to convert the first string into the second string by flipping the prefixes of ...
Read MoreWhat is Residual Networks(ResNet) in Deep Learning
Introduction Deep learning has revolutionized the field of artificial intelligence, empowering the advancement of profoundly precise and effective models for different errands such as picture classification, protest location, and normal dialect handling. One critical headway in profound learning designs is the presentation of Leftover Systems, commonly known as ResNet. ResNet has accomplished exceptional execution in picture acknowledgment assignments, outperforming the capabilities of past convolutional neural network (CNN) designs. In this article, we'll investigate the concept of Residual networks (ResNet) and get why they have ended up being a game−changer in profound learning. What is Residual Network (ResNet)? ...
Read MoreUnivariate Optimization vs Multivariate Optimization
Introduction In this article, we will explore the differences between these approaches and analyze their advantages and limitations. Both univariate and multivariate optimization approaches have distinct strengths and limitations for different applications. Optimization is a tool which would be utilize to retrieve the best solution. Multivariate optimization aims to find the optimal combination of variables that will result in the best possible solution. Univariate Optimization vs Multivariate Optimization Univariate Optimization Univariate optimization involves finding an optimal value for a single−variable problem within a given range. This method seeks to maximize or minimize an objective function by iteratively evaluating different values ...
Read MoreIdentifying Sentiments in Text with Word Based Encoding
Introduction Sentiment analysis is a pivotal angle of natural language processing (NLP) that centers on extricating feelings and conclusions from printed information. It plays a crucial part in understanding open assumptions, client criticism, and social media patterns. In this article, we'll investigate two approaches for distinguishing estimations in content utilizing wordbased encoding in Python. These approaches give profitable bits of knowledge into the enthusiastic tone of a given content by leveraging distinctive procedures such as Bag−ofWords and TF−IDF. By utilizing these methods, ready to analyze estimations and categorize them as positive or negative based on the given input. ...
Read MoreUnderstanding Pipelines in Python and Scikit-Learn
Introduction Python could be a flexible programming dialect with an endless environment of libraries and systems. One prevalent library is scikit−learn, which gives a wealthy set of devices for machine learning and data investigation. In this article, we are going to dig into the concept of pipelines in Python and scikit−learn. Pipelines are an effective apparatus for organizing and streamlining machine learning workflows, permitting you to chain together numerous information preprocessing and modeling steps. We'll investigate three diverse approaches to building pipelines, giving a brief clarification of each approach and counting full code and yield. Understanding pipelines in ...
Read MoreCan Artificial Intelligence be a Better Doctor?
Introduction Artificial intelligence (AI) has emerged as a disruptive force across several industries, revolutionizing the way people work, communicate, and live. AI has enormous potential to advance undetectable outcomes, improve diagnoses, and accelerate treatment procedures in the realm of healthcare. In this article, we examine the subject of whether artificial intelligence may make doctors more effective. We seek to get a thorough knowledge of the role AI may play in establishing enduring periods of restorative healing by examining the relevance of AI in healthcare, acknowledging the value of human talent, and attending to the drawbacks and difficulties associated with AI ...
Read MoreDeep Learning Super Sampling (DLSS) in machine learning
Introduction In the area of machine learning, there exists a groundbreaking technology that has redefined gaming and visual content rendering. Deep Learning Super Sampling (DLSS) is an innovative technique designed to enhance image quality by leveraging artificial intelligence algorithms. This article aims to dive into the intricacies of DLSS, shedding light on its significance, mechanics, and enthralling potential. One remarkable application is Deep Learning Super Sampling, a cutting−edge technique that uses advanced algorithms to enhance image quality and improve visual fidelity in real−time rendering. Deep Learning Super Sampling Traditional anti−aliasing techniques have long been employed to reduce jagged ...
Read More