Ue Kiao, PhD - OpenGenus IQ: Computing Expertise & Legacy

Adaptive Recommender Systems

Adaptive recommender systems are intelligent algorithms designed to analyze user behavior, preferences, and interactions with a platform to deliver personalized recommendations.

Algorithms

Finding Exponent of a Number [5 approaches]

Exponent is a method of expressing large numbers in terms of powers. It refers to how many times a number is multiplied by itself.

C++

Lazy initialization in C++

Lazy initialization is a technique where the creation of an object is deferred until it is actually needed. This can improve performance by avoiding the creation of objects that are never used.

Algorithms

Next Greater Frequency Element

This problem involves combining the concepts of frequency counting and stack-based processing to efficiently determine the next element with a higher frequency for each element in the array.

Deep Learning

ML model to predict Fuel Efficiency [project]

The goal of the fuel efficiency project at OpenGenus is to predict the fuel efficiency of a vehicle based on various input features.

Operating System

Paging in OS: Enhancing Memory Management

In this article at OpenGenus, we explore paging which can fix the issues that many users face without even realizing it - the absence of an essential memory management technique.

Software Engineering

Trading Application in C++ [Software Development Project with source code]

A Trading App, sometimes called a stock trading or investment app, is a handy tool that allows people to easily buy, sell, and manage various types of financial assets like stocks, bonds, cryptocurrencies, and commodities using their smartphones or tablets.

System Design

System Design of an Incident Response Platform

In this article at OpenGenus, we'll discuss how to go about creating an Incident Response Platform, whose role is that of mitigating the impact of cybersecurity incidents.

Machine Learning (ML)

Understanding Bleu Score

BLEU (Bilingual Evaluation Understudy) score was proposed in 2002 and has quickly become the standard score for evaluating machine translation output. It measures the similarity between a machine's translated text and a set of good quality human reference translations.

go

Learn Golang implementation in one article

In this article on OpenGenus, we will explore the complete introduction to programming in Go also known as Golang. We will cover basic concepts like data types, functions and others with code snippets and implement Linked List from scratch applying the concepts.

Technology Company - Careers

Job Levels at NVIDIA

In this article at OpenGenus, we have listed the different job grade, levels and titles at NVIDIA (technical ladder) along with the required average experience and salary range. NVIDIA follows a hierarchical job structure.

System Design

System design of a Grocery System (Amazon Fresh / BigBasket/ JioMart)

This article aims to discuss how one would go about designing a large scope distributed system such as Amazon Fresh or BigBasket or Flipkart Grocery or JioMart or DMart. We will go over requirements, capacity estimates, database solutions, APIs and components.

Technology Company - Careers

Job levels at TSMC

Having over 73,000 employees, TSMC is a large technical workforce. In this article at OpenGenus, we have listed the different job levels and grades at TSMC along with corresponding salary and average work experience for the role.

Technology Company - Careers

Google Hierarchy: Job levels at Google

In this article at OpenGenus, we have listed the different job levels and grades at Google (Google Hierarchy/ org structure/ technical ladder) along with average salary range at USA and India offices and average experience. Based on this information, plan your career at Google.

Culture

Job Levels at Intel

Intel Corporation (INC) follows a hierarchical job structure and in this article at OpenGenus, we have explored the different job levels at Intel along with the required average experience and salary range.

Technology Company - Careers

Job Levels at Wipro: Wipro Hierarchy

In this article at OpenGenus, we have listed the different job levels and grades at Wipro (Wipro Hierarchy/ technical ladder) along with average salary range at USA and India offices and average experience. Based on this information, plan your career at Wipro.

Technology Company - Careers

Job Levels at Fidelity Investments

In this article at OpenGenus, we have listed the different job levels and grades at Fidelity Investments along with corresponding salary range and average experience. This gives a strong view of technical and management ladder at Fidelity Investments so that you can plan your career accordingly.

Technology Company - Careers

Accenture Hierarchy Org Structure: Job Levels at Accenture

In this article at OpenGenus, we have listed the different job levels and grades at Accenture along with average salary range at USA and India offices and average experience. Based on this information, plan your career at Accenture.

Deep Learning

Inference process in Deep Learning [Complete Guide]

Inference is the process of applying trained models to new data for predictions. It plays a vital role in real-world applications, enabling insights, automation, and real-time responses.

Software Engineering

Different Open-Source Code Licenses [Complete Guide]

Open-source licenses are legal agreements that define how a given piece of software can be used, modified, and distributed by others. They grant other users the permission and rights to use or repurpose the code for new applications or to include the code in other projects.

Efficient Approximation of Exponential Function in O(1) time

In this article at OpenGenus, we have explored an efficient approximation of Exponential Function that can be computed in O(1) time. This is also known as Schraudolph's method.

Deep Learning

Time Complexity of im2row and im2col

In this article at OpenGenus, we have explored the time and space complexity of im2row and im2col algorithms that are frequently, used for GEMM based Convolution algorithms.

Deep Learning

Winograd's Convolution Theorem [Explained]

Winograd Convolution proved a lower bound on the number of multiplications required for convolution, and used Chinese Remainder Theorem to construct optimal algorithm to achieve minimum number of multiplies.

Algorithms

Next Greater Element using Stack

Given an array of integers, arr, of length N. The task is to find the Next Greater Element (NGE) for each element in the array.

Deep Learning

Training process of Deep Learning models

Deep learning has revolutionized artificial intelligence, helping machines to learn and make decisions autonomously like humans. The training process, vital for model generalization and performance, has been explored in this article at OpenGenus, along with variations across model types.