Ue Kiao, PhD - OpenGenus IQ: Learn Algorithms, DL, System Design (Page 2)

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.

Algorithms

Task Scheduler - Algorithm and Data Structure Project [in JavaScript]

In this article at OpenGenus, we are going to build a task scheduler project which implements a priority queue, and we will use a min heap data structure to manage the tasks based on their priorities.

Java

Implementing Merge Sort in Java

In this article at OpenGenus, we have explored the design and implementation of Merge Sort in Java Programming Language.

Deep Learning

Tensor Operations: Flatten and Squeeze

In this article at OpenGenus, we have explored the 2 fundamental operations in Deep Learning models that modify tensor structure that is Flatten and Squeeze op.

Python

Reasons to consider Django Rest Framework: A Comprehensive Guide

In this article at OpenGenus, we will explore Django Rest Framework in-depth, covering its key features, benefits and best practices.

Deep Learning

Adagrad: An Adaptive Gradient Algorithm for Optimization

Adaptive Gradient Algorithm, abbreviated as Adagrad, is a gradient-based optimization algorithm first introduced in 2011.

C Programming

Trie in C Programming Language (using struct)

To represent a Trie data structure in C, you can use a structure and pointers to create the nodes of the Trie.

Python

AVL Tree in Python [using OOP + Inheritance]

AVL (Adelson-Velsky and Landis) tree is a self-balancing binary search tree, where the balance factor of each node is the difference between the heights of its left and right subtrees i.e. either -1, 0, or 1.

Deep Learning

Understanding AdaDelta: An Adaptive Learning Rate Optimization Algorithm

In this article at OpenGenus, we will explore AdaDelta from the ground up, understanding its mechanics and the benefits it offers over traditional optimization techniques.

Deep Learning

He initialization in Deep Learning

He initialization, also known as Kaiming Initialization, is a widely used technique in deep learning for initializing the weights of neural networks. It was introduced by Kaiming He et al. in 2015 as an improvement over the traditional random initialization methods.

UX Design

Progressive Disclosure in UX design

In today's world, we can order a product from any website or sign up for any website to access anything we want. Due to the growing range of products, these web pages are becoming more complex every day.