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

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. The post From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence appeared first on Cloudera Blog.

Machine Learning 85

Machine Learning Raw Data Government Algorithm 85

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

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

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Process Kafka Scala SQL 91

Pinterest Engineering

FEBRUARY 11, 2025

This blog outlines the three pragmatic approaches that form the basis of the root-cause analysis (RCA) platform at Pinterest. How we are analyzing the metric segments takes inspiration from the algorithm in Linkedins ThirdEye. a new recommendation algorithm). The possible reasons go on andon.

Algorithm 46

Algorithm Software Engineer Software Engineering Aggregated Data 46

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.

Algorithm 52

Algorithm Datasets Deep Learning Architecture 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.

Process 87

Process Data Pipeline Datasets SQL 87

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 114

Process Coding Python Deep Learning 114

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 139

Algorithm Kafka Metadata Systems 139

KDnuggets

APRIL 18, 2022

This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.

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Algorithm Process 116

Snowflake

AUGUST 7, 2024

As we describe in this blog post , the top-k feature uses runtime information — namely, the current contents of the top-k elements — to skip micro-partitions where we can guarantee that they won’t contribute to the overall result. Snowflake starts processing those partitions first. on average, with some queries also reaching up to 99.8%

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Metadata Algorithm Process Utilities 109

Data Engineering Weekly

FEBRUARY 9, 2025

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

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

Cloudera

NOVEMBER 17, 2021

TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case. The post New Applied ML Prototypes Now Available in Cloudera Machine Learning appeared first on Cloudera Blog. Train Gensim’s Word2Vec.

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

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 Engineer Software Engineering 52

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.

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Media Building Algorithm Machine Learning 119

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning. Figure 03: The Data Science Lifecycle.

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Machine Learning Algorithm Data Science Government 97

Edureka

FEBRUARY 8, 2023

In this blog we will get to know about the perks of ChatGPT for coding. This blog will help you learn how this effective tool can help you write code with ease, and we will also cover topics like: What is ChatGPT? Streamlining the implementation process for ChatGPT Fig.7 ” Fig.6 ChatGPT is designed to be simple to use.

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Coding Deep Learning Programming Java 130

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. And how can we do this over the course of multiple slots?

Algorithm 52

Algorithm Building Designing IT 52

Pinterest Engineering

MARCH 26, 2025

Shopping Experience Enhancement Expanding the dynamic header system to other Pinterest surfaces Developing new shopping-specific modules Further optimizing the gift discovery algorithm 3. Gift-Specific Filtering: A post-ranking filter removes utilitarian products while elevating items with strong giftsignals.

Building 59

Building Engineering Algorithm Systems 59

Cloudera

NOVEMBER 19, 2020

Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Some of these algorithms can be adaptive to quickly update the model to take into account new, previously unseen fraud tactics allowing for dynamic rule adjustment. The modeling process begins with data collection.

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Government Machine Learning Algorithm Raw Data 119

RandomTrees

NOVEMBER 13, 2024

In this blog, we will look at some of the approaches GenAI has advanced in food and beverage, supported by relevant research statistics as well as real-life experiences and case studies in detail. For example, one of the challenges is dealing with a manual decision-making process, which is often cumbersome.

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Food Manufacturing Algorithm Utilities 52

Ascend.io

OCTOBER 28, 2024

Data transformation is the process of converting raw data into a usable format to generate insights. In this blog post, we’ll explore fundamental concepts, intermediate strategies, and cutting-edge techniques that are shaping the future of data engineering. What is Data Transformation?

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Cloudera

APRIL 13, 2022

If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business outcomes. . The post Becoming an AI-first Organization appeared first on Cloudera Blog. Product development.

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Data Collection Algorithm Machine Learning Education 112

Christophe Blefari

MARCH 22, 2024

Usually all the process takes me a whole Friday. The process works well, but as you can see, because I use fresh news, it's just-in-time. ❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays.

Electronics 130

Electronics Media Data Python 130

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?

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Retail Hospitality Data Governance Banking 52

Data Engineering Weekly

JANUARY 12, 2025

This blog captures the current state of Agent adoption, emerging software engineering roles, and the use case category. Facing performance bottlenecks with their existing Spark-based system, Uber leveraged Ray's Python parallel processing capabilities for significant speed improvements (up to 40x) in their optimization algorithms.

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Pipeline-centric Data Engineering Data Engineer Engineering 59

DataKitchen

NOVEMBER 5, 2024

The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold. By methodically processing data through Bronze, Silver, and Gold layers, this approach supports a variety of use cases. Bronze layers should be immutable.

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Architecture Raw Data Pipeline-centric Data Ingestion 78

Christophe Blefari

APRIL 19, 2024

Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). This is super interesting because it details important steps of the generative process. — A great blog to answer a great question.

MySQL 130

MySQL Data Datasets SQL 130

Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. The article has been written as something you can add in your own internal dbt onboarding process for every newcomer. So thank you for that. Stay tuned and let's jump to the content.

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Machine Learning AWS Data Data Lake 130

LinkedIn Engineering

FEBRUARY 23, 2023

In our previous blog post, Hodor: Detecting and addressing overload in LinkedIn microservices , we introduced the Holistic Overload Detection and Overload Remediation (HODOR) framework. Be an out-of-the-box solution that works for all LinkedIn services without service owners or SREs needing to tune the algorithm.

Algorithm 101

Algorithm Java Designing Systems 101

Snowflake

APRIL 20, 2023

When asked what trends are driving data and AI , I explained two broad themes: The first is seeing more models and algorithms getting productionized and rolled out in interactive ways to the end user. And second, with the power to be more pervasive than I can even imagine, is generative AI and LLMs.

Building 140

Building Unstructured Data Government Coding 140

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection.

Building 109

Building Pipeline-centric Machine Learning Datasets 109

Cloudera

JANUARY 7, 2021

These emerging categories may not contain enough examples for a traditional machine learning algorithm to learn from, making high-quality classification difficult or prohibitive. . Unfortunately, this process doesn’t take into account the fact that many words don’t contain a great deal of meaningful information (e.g., “the,”

Machine Learning 107

Machine Learning Algorithm Deep Learning Designing 107

Tweag

MARCH 6, 2024

Three years ago, a blog post introduced destination-passing style (DPS) programming in Haskell, focusing on array processing, for which the API was made safe thanks to Linear Haskell. The present blog post is mostly based on my recent paper Destination-passing style programming: a Haskell implementation , published at JFLA 2024.

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Programming Data Programming Language Coding 132

Picnic Engineering

OCTOBER 14, 2024

This so-called Master Planning Process (MPP) represents the planning of the Picnic supply chain path for every ordered article from the Fulfilment Centre to the customer’s door. Combinatorial optimisation is the process of trying to find the optimal solution given a set of finite possibilities. What is combinatorial optimisation?

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Algorithm Datasets Java Coding 75

Netflix Tech

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. We A/B tested HDR-DO encodes in production in Q3-Q4 2021, followed by improving the ladder generation algorithm further in early 2022. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes.

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Metadata Algorithm Electronics Software Engineer 104