Knowledge Hut

MARCH 22, 2024

Understanding data structures and algorithms (DSA) in C++ is key for writing efficient and optimised code. Some basic DSA in C++ that every programmer should know include arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms like quicksort and merge sort, and search algorithms like binary search.

Algorithm 52

Algorithm Programming Data Datasets 52

Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

ProjectPro

MARCH 5, 2021

Welcome to the World of Recommender Systems!!! Table of Contents What is a Recommender System? The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems.

Algorithm 40

Algorithm Systems Python Datasets 40

Knowledge Hut

MARCH 22, 2024

The C programming language plays a crucial role in Data Structure and Algorithm (DSA). Since C is a low-level language, it allows for direct memory manipulation, which makes it perfect for implementing complex data structures and algorithms efficiently. This blog will provide you with a strong foundation in DSA using C.

Algorithm 52

Algorithm Programming Language Software Engineering Software Engineer 52

Knowledge Hut

JANUARY 3, 2024

In the field of artificial intelligence, the heuristic search algorithm known as "hill climbing" is employed to address optimization-related issues. The algorithm begins in a suboptimal state and incrementally improves it until a predetermined condition is satisfied. What is a Hill Climbing Algorithm?

Algorithm 52

Algorithm Machine Learning Data Science Portfolio 52

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

Edureka

MAY 24, 2023

Introduction to Data Structures and Algorithms Data Structures and Algorithms are two of the most important coding concepts you need to learn if you want to build a bright career in Development. Topics to help you get started What are Data Structures and Algorithms? Algorithms act like a roadmap used to complete a process.

Algorithm 72

Algorithm Programming Language Java Programming 72

Booking.com Engineering

JULY 26, 2024

The Engineering Behind High-Performance Ranking Platform: A System Overview An Introduction Booking.com employs sophisticated ranking to optimize search results for each user. For simplicity, multiple systems have been condensed into a single block or omitted entirely to highlight the role of the Ranking platform.

Systems 42

Systems Engineering Algorithm Machine Learning 42

Knowledge Hut

JUNE 27, 2023

Data structures and algorithms are the building blocks of effective software in computer science and programming. We shall also discuss various data structures and algorithm projects with source code. What is an Algorithm? Software engineers need to understand algorithms to design dependable and effective code.

Algorithm 52

Algorithm Coding Project Computer Science 52

Data Engineering Weekly

SEPTEMBER 26, 2024

Most cloud providers offer built-in encryption options and key management systems (KMS) , making it easier to stay compliant without sacrificing security. Two prevalent models are: Role-Based Access Control (RBAC): This system assigns permissions based on predefined organizational roles (e.g., data analyst, marketing manager).

Systems 67

Systems Engineering Data Warehouse Architecture 67

Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. We need a systemized source of truth that can simulate various performance factors across compute, storage, and network collectively. For instance, the AI Research SuperCluster for AI research.

Systems 105

Systems Architecture Designing Utilities 105

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Our engineers are constantly discovering new algorithms and new signals to improve the performance of our machine learning models.

Systems 94

Systems Machine Learning Data Mining Algorithm 94

Zalando Engineering

SEPTEMBER 16, 2024

Currently, ad placements on the homepage are determined by a real-time bidding system. This system can lead to situations where your ad budget is exhausted early in the campaign period, limiting your potential reach. Ad spend: old vs. new algorithm However, a hidden hurdle exists: uneven ad spend. The Consequence?

Algorithm 112

Algorithm Systems Designing IT 112

KDnuggets

NOVEMBER 17, 2021

We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

Systems 80

Systems Algorithm Engineering 80

Zalando Engineering

MAY 13, 2024

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

Designing 59

Designing Systems Architecture Coding 59

Cloudera

MAY 25, 2021

Recommendation systems have become a cornerstone of modern life, spanning sectors that include online retail, music and video streaming, and even content publishing. These systems help us navigate the sheer volume of content on the internet, allowing us to discover what’s interesting or important to us.

Systems 62

Systems Algorithm Retail Utilities 62

ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in. That is, one instance can have multiple labels.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. Many different systems provide a SQL interface to streaming data on various substrates. What are the main challenges that you see engineers facing when working with streaming systems?

Systems 100

Systems Kafka SQL Data Engineer 100

KDnuggets

SEPTEMBER 4, 2019

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.

Machine Learning 112

Machine Learning Systems Algorithm Coding 112

Knowledge Hut

OCTOBER 27, 2023

System design projects involve creating a plan for a complex system that will meet specific requirements or solve a particular problem. These projects may involve designing software applications, network infrastructures, manufacturing processes, or other complex systems. What is System Design?

Designing 52

Designing Systems Project Cloud Computing 52

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

Booking.com Engineering

NOVEMBER 8, 2022

Abstract : Customer reviews is a high-traffic system, which requires scaling to meet peak usage times. A consistent hashing algorithm that allowed for scaling without removing any of our availability zones from receiving traffic. Introduction Business case Booking.com’s review system is a core part of our platform.

Systems 52

Systems Algorithm Consulting Architecture 52

ProjectPro

NOVEMBER 8, 2021

Computer Vision focuses on replicating the complex working of the human visual system and enabling a machine or computer to identify and process different objects in videos and images, just like a human being. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

Ripple Engineering

JUNE 20, 2023

The RippleX engineering team has published a new whitepaper that provides an overview of the Payment Engine (PE) system, including design concepts and examples. The full whitepaper demonstrates key concepts of the PE system with several examples. The full whitepaper demonstrates key concepts of the PE system with several examples.

Designing 52

Designing Systems Engineering Algorithm 52

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

KDnuggets

NOVEMBER 19, 2021

Want to know the difference between distributed and federated learning? Read this article to find out.

Algorithm 158

Algorithm Systems 158

Edureka

JULY 18, 2024

It understands concepts like ambiguity and nuance – the two biggest blindspots of traditional computer systems This shift from generic AI to context-aware systems paves the way for a more natural and effective human-machine interaction. Think about a smart home system. Enroll in Edureka’s Generative AI Course.

Systems 40

Systems Retail Food Education 40

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. This brings with it a vast number of subtle ways that errors can creep in.

Systems 100

Systems Building Scala Java 100

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100

Systems Java Media Algorithm 100

U-Next

SEPTEMBER 7, 2022

Recommendation System – Created by Machine Learning . A recommender system, broadly defined, is a system that anticipates the ratings a user would give to a certain item. . These kinds of systems have helped both the users and the services offered. What Are Recommender Systems? .

Machine Learning 40

Machine Learning Systems Algorithm Datasets 40

KDnuggets

AUGUST 28, 2019

Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.

Algorithm 62

Algorithm Systems 62

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it.

Systems 100

Systems MongoDB NoSQL Database 100

The Pragmatic Engineer

OCTOBER 17, 2024

We recently covered how CockroachDB joins the trend of moving from open source to proprietary and why Oxide decided to keep using it with self-support , regardless Web hosting:  Netlify : chosen thanks to their super smooth preview system with SSR support.

Cloud 279

Cloud Metadata AWS Cloud Computing 279

Booking.com Engineering

DECEMBER 2, 2022

From a technical perspective, solving this requires machine learning and operational infrastructure at scale, which is processing performance feedback, assessing historical performance and after running algorithms, communicating results back to a search engine provider. Fig 1: A Google search displaying our PPC advertisement.

Systems 52

Systems Cloud MySQL Relational Database 52

Rockset

MARCH 28, 2024

Find an end-to-end Colab notebook that you can run without any dependencies on your local operating system: Recsys_workshop. Introduction A real-time personalized recommender system can add tremendous value to an organization by enhancing the level user engagement and ultimately increasing user satisfaction.

Systems 52

Systems Building Database Utilities 52

Data Engineering Podcast

DECEMBER 2, 2018

Summary Distributed systems are complex to build and operate, and there are certain primitives that are common to a majority of them. In this episode Patrick Hunt explains how the Apache Zookeeper project was started, how it functions, and how it is used as a building block for other distributed systems. Would you still use Java?

Systems 100

Systems Building Kafka Java 100

Netflix Tech

JUNE 1, 2023

We used this simulation to help us surface problems of scale and validate our Ads algorithms. Replay traffic enabled us to test our new systems and algorithms at scale before launch, while also making the traffic as realistic as possible. We also constructed and checked our ad monitoring and alerting system during this period.

Algorithm 138

Algorithm Metadata Kafka Systems 138