Knowledge Hut

FEBRUARY 7, 2023

In this post, the Binary Search Algorithm will be covered. Finding a certain element in the list is the process of searching. Finding a certain element in the list is the process of searching. We'll talk about the Binary Search Algorithm here. A quick search algorithm with run- time complexity of O is a binary search.

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Algorithm Coding Java Programming 89

The Pragmatic Engineer

MARCH 3, 2023

Competitors worked their way through a series of online algorithmic puzzles to earn a spot at the World Finals, for a chance to win a championship title and $15,000 USD. Google also ran other programs: Kick Start: algorithmic programming. Google Code Jam I/O for Women: algorithmic programming. What were these competitions?

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Coding IT Software Engineer Software Engineering 177

Zalando Engineering

APRIL 22, 2024

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). Every Nakadi event type is processed by an instance of the Event Listener.

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Algorithm Systems Kafka Designing 75

DareData

JUNE 11, 2024

With its capabilities of efficiently training deep learning models (with GPU-ready features), it has become a machine learning engineer and data scientist’s best friend when it comes to train complex neural network algorithms. In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm.

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Algorithm Datasets Deep Learning Architecture 52

Scott Logic

OCTOBER 24, 2024

Our most interesting mission, in my opinion, was to design and build an algorithm that assigned talks to attendees according to their choices. This algorithm would save organisers the time, human error and brain power required to ensure all attendees are fairly allocated. Let’s look at another example with this factored in.

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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.

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Algorithm Programming Data Datasets 52

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. Select GCC and other development tools during the installation process.

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Algorithm Programming Language Software Engineer Software Engineering 52

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.

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Algorithm Programming Language Java Programming 72

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.

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Machine Learning Algorithm Datasets Python 52

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

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Knowledge Hut

MAY 2, 2024

The power behind machine learning’s self-identification and analysis of new patterns, lies in the complex and powerful ‘pattern recognition’ algorithms that guide them in where to look for what. And this is just a drop in the ocean! What is Machine Learning and Why It Matters?

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Machine Learning IT Deep Learning Algorithm 98

Netflix Tech

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency.

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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?

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Knowledge Hut

MARCH 21, 2024

Microsoft is renowned not only for its groundbreaking technology but also for its rigorous interview process. However, navigating through the interview process requires thorough preparation and understanding of what to expect. The process of eradicating bugs and resolving issues is their prior responsibility.

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Software Engineer Software Engineering Process Engineering 52

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.

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ProjectPro

JUNE 19, 2021

Gradient descent is an efficient first-order optimization algorithm for finding a differentiable function's global or local minimum. However, to implement this on a machine, we need to go one step further as we require an iterative algorithm. Advice, instructions, and gentle nudges in the right direction can help in such situations.

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Algorithm IT Machine Learning Deep Learning 52

U-Next

OCTOBER 16, 2022

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . This article will briefly discuss the KDD process in data mining and the KDD process steps. . This is done by identifying knowledge using Data Mining algorithms. . Steps Involved in a Typical KDD Process .

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Data Mining Process IT Raw Data 40

Zalando Engineering

SEPTEMBER 16, 2024

Equilibrium through feedback control: This dynamic adjustment process ensures the ad budget is spent evenly, maximizing the number of potential viewers throughout the campaign duration. Ad spend: old vs. new algorithm Introduction Zalando Marketing Services (ZMS) is Zalando's advertising platform. The bid decreases when overspending.

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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. It's not there. We all have been through this.

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Machine Learning Algorithm Datasets Project 72

Edureka

JUNE 12, 2024

This includes leveraging AI algorithms to analyze vast amounts of data, automate repetitive tasks, personalize marketing campaigns, and enhance customer experiences. Best AI Marketing Tools Let’s take a look at how Netflix uses AI in its marketing strategies. That’s all thanks to AI. Let’s consider advertising, for example.

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Knowledge Hut

MARCH 29, 2024

One of the most important steps in joining one of the world’s most inventive tech businesses is the Apple software engineer interview process. You need to consider all the above points to qualify for the Apple software engineer interview process. To succeed in this interview, you must be unique.

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Software Engineer Software Engineering Process Engineering 52

Dataquest

MARCH 24, 2020

Algorithms are at the center of almost any programming job. And particularly in the world of data engineering, using efficient algorithms is important enough that it’s a common topic to be quizzed about in job interviews. Algorithm Complexity is the latest course in our Data Engineer career path.

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Algorithm Python Data Engineer Data Engineering 52

Precisely

JANUARY 31, 2024

As this drive toward increased efficiency and agility continues, here are the trends that we see unfolding in 2024 for automating SAP processes. Simply put: manual, error-prone processes simply don’t cut it anymore if you want to survive and thrive in a fast-paced digital landscape. This process is notoriously complex and error-prone.

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Process Data Validation Algorithm Technology 59

LinkedIn Engineering

OCTOBER 5, 2023

The benefit of this component is that the consolidation of various objective functions into a single model enhances task transfer learning and expedites the individual task learning process. The magic in search happens because of the technology that powers it. EBR helps deliver more relevant matches for our members and customers every day.

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IT Metadata Designing Cloud 133

RandomTrees

DECEMBER 20, 2023

Thus, Edge AI reduces downtime or latency by combining Edge computing and AI processes. Furthermore, next gen edge computing devices successfully integrate AI processes as an essential component. As a result, users can build data and support user requirements without interacting with physical locations, saving them time and money.

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IT Hospitality Healthcare Deep Learning 52

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Co-authors: Jonathan Hung , Pei-Lun Liao , Lijuan Zhang , Abin Shahab , Keqiu Hu TensorFlow is one of the most popular frameworks we use to train machine learning (ML) models at LinkedIn.

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ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. What is Natural Language Processing? Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech.

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Process Deep Learning Datasets Machine Learning 139

ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing. Table of Contents What is Text Classification?

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Machine Learning Algorithm Datasets Google Cloud 52

Knowledge Hut

JANUARY 3, 2024

Let us utilize 101Blockchains as input, and the SHA256 hash algorithm will provide the output: fbffd63a60374a31aa9811cbc80b577e23925a5874e86a17f712bab874f33ac9. You must be living under a rock if you haven’t come across the term ‘Merkel tree.’ The cryptographic hash of a data block label is given to each leaf node. How Does Merkle Tree Work?

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IT Certification Algorithm Utilities 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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ProjectPro

NOVEMBER 8, 2021

Whether it is quality control of crops through image classification or image processing for electronic deposits, computer vision techniques are transforming industries across the globe. The performance of computer vision algorithms has surpassed humans in specific tasks like detecting and labeling objects in terms of speed and accuracy.

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Algorithm Medical Datasets Python 52

Knowledge Hut

MARCH 13, 2024

If you aspire to be a software engineer, you must follow a specific strategy and understand the Google software engineer interview process to land your dream job. While Google’s hiring process is similar to other companies, it requires careful consideration. I consider it to be the most competitive step in the process.

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Software Engineer Software Engineering Process Engineering 52

Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

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Data Integration Process Data Validation Data Governance 52

Striim

AUGUST 7, 2024

Striim’s real-time data integration capabilities ensure that data is continuously captured and processed, while Snowflake’s powerful analytics platform rapidly analyzes this data. The integration enables AI algorithms to immediately generate insights and trigger actions based on detected anomalies.

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IT Entertainment MySQL Raw Data 52

Edureka

JULY 4, 2024

However, it is creating innovation and generating new ways for the development process which are including and providing game-changing improvements in the coming years. AI Automation is a simplified process which improves research and helps us to find efficient resources through various applications. What is AI automation?

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The Pragmatic Engineer

OCTOBER 17, 2024

Code and raw data repository:   Version control: GitHub Heavily using GitHub Actions for things like getting warehouse data from vendor APIs, starting cloud servers, running benchmarks, processing results, and cleaning up after tuns. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores.

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