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.

Process 139

Process Deep Learning Datasets Machine Learning 139

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. Internal comms: Chat: Slack Coordination / project management: Linear 3.

Cloud 326

Cloud AWS Metadata Cloud Computing 326

Netflix Tech

JANUARY 6, 2025

This process involves: Identifying Stakeholders: Determine who is impacted by the issue and whose input is crucial for a successful resolution. Since these attributes feed directly into algorithms, any delays or inaccuracies can ripple through thesystem. We should aim to address questions such as: What is vital to the business?

Metadata 91

Metadata Algorithm Systems Building 91

Engineering at Meta

FEBRUARY 3, 2025

Leap second smearing a solution past its time Leap second smearing is a process of adjusting the speeds of clocks to accommodate the correction that has been a common method for handling leap seconds. microseconds. This approach has a number of advantages, including being completely stateless and reproducible.

Algorithm 101

Algorithm Utilities Systems Engineering 101

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. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Process 98

Process Pipeline-centric Media Metadata 98

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. And who better to learn from than the tech giants who process more data before breakfast than most companies see in a year?

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Precisely

DECEMBER 12, 2024

These systems store massive amounts of historical datadata that has been accumulated, processed, and secured over decades of operation. This bias can be introduced at various stages of the AI development process, from data collection to algorithm design, and it can have far-reaching consequences.

Healthcare 63

Healthcare Algorithm Finance Data Integration 63

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. If greater than one, records in files are processed in parallel. Shuffle Algorithm Another challenge with Avro is that Avro blocks do not track the offsets of each Avro object in the block.

Datasets 102

Datasets Bytes Process Data Ingestion 102

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?

Coding 211

Coding IT Software Engineer Software Engineering 211

Netflix Tech

MARCH 28, 2025

However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly. The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs).

Metadata 88

Metadata Bytes Entertainment Data Mining 88

Snowflake

JANUARY 16, 2025

This is done by combining parameter preserving model rewiring with lightweight fine-tuning to minimize the likelihood of knowledge being lost in the process. SwiftKV achieves higher throughput performance with minimal accuracy loss (see Tables 1 and 2). Performance by use case SwiftKV enables performance optimizations on a range of use cases.

Algorithm 89

Algorithm Data Analysis Process Building 89

The Pragmatic Engineer

JUNE 1, 2023

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Serving a web page.

Education 364

Education Project PostgreSQL Software Engineer 364

KDnuggets

AUGUST 15, 2022

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

Machine Learning 160

Machine Learning Algorithm Process 160

Zalando Engineering

MARCH 6, 2025

This architecture made Offer processing slow, expensive, and fragile. Frequent stock and price updates were processed alongside mostly static Product data, with over 90% of each payload unchangedwasting network, memory, and processing resources. In CHLB, each backend pod is assigned to multiple random positions on a hash ring.

Algorithm 63

Algorithm Architecture Transportation Data Ingestion 63

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.

Process 113

Process Coding Python Deep Learning 113

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 If the advertiser’s campaign is overspending, the bid is lowered.

Algorithm 87

Algorithm Systems Designing IT 87

KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

Data Science 151

Data Science Deep Learning Algorithm Machine Learning 151

RandomTrees

DECEMBER 17, 2024

Generative AI (GenAI), an area of artificial intelligence, is enhancing the automation of quality control processes, thereby increasing the safety and efficiency of the industry. Regulatory Updates: AI algorithms perform and analyze the news and changes related to regulations free of charge, making compliance simple for businesses.

Food 52

Food Manufacturing Machine Learning Algorithm 52

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. The Mantis query language allowed us to set the percentage of replay traffic to process.

Algorithm 141

Algorithm Kafka Metadata Systems 141

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

Pinterest Engineering

FEBRUARY 11, 2025

How we are analyzing the metric segments takes inspiration from the algorithm in Linkedins ThirdEye. a new recommendation algorithm). For analytics tools like anomaly detection or root-cause analysis, the results are often mere suggestions for users who may not have a clear idea of the algorithms involved or how to tune them.

Algorithm 48

Algorithm Software Engineer Software Engineering Aggregated Data 48

Data Engineering Weekly

MAY 25, 2025

Then, a custom Apache Beam consumer processed these events, transforming and writing them to CRDB. link] Vimeo: Behind Viewer Retention Analytics at Scale Vimeo outlines its architecture for delivering viewer retention analytics at scale, leveraging ClickHouse and AI to process data from over a billion videos.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Netflix Tech

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. Processing took several hours to complete. Some ML algorithms are computationally intensive.

Media 122

Media Building Algorithm Machine Learning 122

Striim

APRIL 10, 2025

As data volumes surge and the need for fast, data-driven decisions intensifies, traditional data processing methods no longer suffice. This growing demand for real-time analytics, scalable infrastructures, and optimized algorithms is driven by the need to handle large volumes of high-velocity data without compromising performance or accuracy.

Data Analytics 52

Data Analytics Algorithm Datasets Data 52

KDnuggets

DECEMBER 13, 2022

The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.

Algorithm 160

Algorithm Process 160

KDnuggets

OCTOBER 15, 2024

Word embeddings is a numerical representation of text, allowing a computer to process words efficiently by converting words into numerical vectors that can be processed with machine learning algorithm.

Algorithm 118

Algorithm Machine Learning Process 118

Edureka

APRIL 22, 2025

Exponential Growth in AI-Driven Data Solutions This approach, known as data building, involves integrating AI-based processes into the services. As early as 2025, the integration of these processes will become increasingly significant. It lets you describe data more complexly and make predictions.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 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.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Edureka

JUNE 7, 2024

Generative AI leverages the power of deep learning to build complex statistical models that process and mimic the structures present in different types of data. From a technical standpoint, generative AI models depend on various architectures and algorithms to achieve their remarkable creative capabilities.

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Cloudera

JANUARY 9, 2025

AI today involves ML, advanced analytics, computer vision, natural language processing, autonomous agents, and more. Its about comprehensive solutions, not isolated algorithms. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece.

Machine Learning 85

Machine Learning Raw Data Government Algorithm 85

ThoughtSpot

APRIL 7, 2025

Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot is the only platform that can solve this problem with its robust tools and information processing technology, all without saving any customer data.

Metadata 52

Metadata Algorithm BI Machine Learning 52

RandomTrees

NOVEMBER 13, 2024

It’s worth noting that advanced technologies today not only facilitate the production process structure but also improve effectiveness, reduce costs, and create innovativeness. However, AI-assisted editing tools are transforming the systems that are capable of eliminating tough jobs from the editing process.

Entertainment 52

Entertainment Media Cloud Cloud Computing 52

Snowflake

MAY 8, 2025

Egress Cost Optimizer uses an intelligent algorithm to understand Snowflake listing setups for data transfer, such as consumer regions and underlying cloud providers, and automatically delivers the most cost-efficient path to transfer data. This results in content that is available to customers only in certain Snowflake regions.

AWS 60

AWS Cloud Algorithm Data Security 60

KDnuggets

SEPTEMBER 18, 2024

The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. By harnessing neural networks, deep learning algorithms are able.

Medical 118

Medical Deep Learning Healthcare Algorithm 118

Snowflake

JUNE 27, 2024

That means moving data from one point solution to another and then back to its home, which can be a costly, clunky and not terribly secure process. These two algorithms are well-known for being resource intensive and time consuming. The Cash App team started by putting RelationalAI’s methods to the test.

Data Governance 122

Data Governance Algorithm Government Cloud 122

Netflix Tech

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show). mp4, clip1.mp4,

Media 122

Media Machine Learning Metadata Algorithm 122

RandomTrees

MARCH 10, 2025

Let’s explore predictive analytics, the ground-breaking technology that enables companies to anticipate patterns, optimize processes, and reach well-informed conclusions. Revenue Growth: Marketing teams use predictive algorithms to find high-value leads, optimize campaigns, and boost ROI. Want to know more?

Retail 52

Retail Data Governance Hospitality Banking 52