Striim

APRIL 10, 2025

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. This scalability ensures that businesses can handle large, complex datasets efficiently, even as they grow.

Data Analytics 52

Data Analytics Algorithm Datasets Data 52

Data Engineering Weekly

FEBRUARY 9, 2025

MoEs necessitate less compute for pre-training compared to dense models, facilitating the scaling of model and dataset size within similar computational budgets. I found the product blog from QuantumBlack gives a view of data quality in unstructured data. The system design is an excellent reminder of thinking from a user's perspective.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Ascend.io

OCTOBER 28, 2024

In this blog post, we’ll explore fundamental concepts, intermediate strategies, and cutting-edge techniques that are shaping the future of data engineering. Filling in missing values could involve leveraging other company data sources or even third-party datasets.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

ProjectPro

NOVEMBER 25, 2021

Read this blog to learn about text classification, one of the core topics of natural language processing. You will discover different models and algorithms that are widely used for text classification and representation. Table of Contents What is Text Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. Machine learning (also called statistical ) methods for NLP involve using AI algorithms to solve problems without being explicitly programmed.

Process 139

Process Deep Learning Datasets Machine Learning 139

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.

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

Christophe Blefari

APRIL 19, 2024

It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). — A great blog to answer a great question. Is SQLMesh the dbt Core 2.0

MySQL 130

MySQL Data Datasets SQL 130

ProjectPro

JANUARY 11, 2022

They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Yes, you are right. Regression. What is Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Food 52

RandomTrees

MARCH 10, 2025

Revenue Growth: Marketing teams use predictive algorithms to find high-value leads, optimize campaigns, and boost ROI. AI and Machine Learning: Use AI-powered algorithms to improve accuracy and scalability. Cloud-Based Solutions: Large datasets may be effectively stored and analysed using cloud platforms.

Retail 52

Retail Hospitality Data Governance Banking 52

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. In this case, thousands of fashion Pins¹ publicly available on Pinterest are gathered to serve as the raw dataset. To explore and apply to open roles, visit our Careers page.

Building 109

Building Pipeline-centric Machine Learning Datasets 109

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Christophe Blefari

MARCH 22, 2024

❤️ 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. Capslocks and repetitions to make the algorithm understand. go check what the algorithm prepared for you. on April 10.

Electronics 130

Electronics Media Data Python 130

U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. Datasets are obtained, and forecasts are made using a regression approach. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans.

Project 96

Project Medical Banking Healthcare 96

Edureka

MARCH 27, 2025

CycleGAN, unlike traditional GANs, does not require paired datasets, in which each image in one domain corresponds to an image in another. In this blog post, we’ll look at the CycleGAN model, its architecture, how it solves real-world problems, and how to implement it effectively. What is CycleGAN for image translation?

Datasets 40

Datasets Medical Architecture Algorithm 40

Pinterest Engineering

MAY 2, 2023

We set up a separate dataset for each event type indexed by our system, because we want to have the flexibility to scale these datasets independently. In particular, we wanted our KV store datasets to have the following properties: Allows inserts. We need each dataset to store the last N events for a user.

Lambda Architecture 90

Lambda Architecture Datasets Software Engineer Software Engineering 90

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 93

Datasets Metadata Algorithm Architecture 93

Christophe Blefari

JUNE 9, 2023

In the end the article is obviously biased towards SQLMesh (on the company blog), but reveals good issues with dbt. An article from the Wall Street Journal, obviously if you want to fine tune generative models you will have to be sure to have correct training datasets. OBT, star schema, activity schema, etc.

Data 130

Data Government SQL Coding 130

Picnic Engineering

OCTOBER 14, 2024

A broad overview of the contents of an MPP As the scale of operations is quite large, Picnic uses various algorithms for each stage of the MPP to automatically generate a planning. For example, a branch-and-bound algorithm can prune solutions, by deducing that no better score can be achieved in certain areas of the search space.

Algorithm 75

Algorithm Datasets Java Coding 75

Confluent

AUGUST 29, 2019

We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. All of the code and setup discussed in this blog post can be found in this GitHub repository , so you can try it yourself! Link prediction algorithms.

Kafka 55

Kafka Process Algorithm Cloud 55

Netflix Tech

JANUARY 30, 2023

In a previous blog post we explained how our artwork personalization algorithm can pick the best image for each member, but how do we create a good set of images to choose from? In this blog post, we talk about two approaches to create effective artwork. What data would you like to have if you were designing an asset suite?

Algorithm 105

Algorithm Media Machine Learning Designing 105

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. It is also important to know the underlying math to understand the various ML algorithms.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Cloudera

MAY 18, 2022

After all, AI and it’s practice of machine learning (ML), use algorithms to accomplish tasks. Those algorithms require high quality data to deliver meaningful results. The post Becoming AI-First: How to Get There appeared first on Cloudera Blog. Address data management . Learn more about how CDP can help your ogranization.

Manufacturing 95

Manufacturing High Quality Data Algorithm Retail 95

Edureka

APRIL 16, 2025

GitHub Copilot Features AI-Powered Coding Assistant : Trained on a massive dataset of publicly available code, including GitHub repositories, it can generate functions, classes, and entire code blocks. Boosts Productivity : Helps write new code, refactor existing code, and auto-generates boilerplate, test cases, and even complex algorithms.

Programming Language 40

Programming Language Coding Programming Data Preparation 40

LinkedIn Engineering

DECEMBER 20, 2023

This blog post delves into the AutoML framework for LinkedIn’s content abuse detection platform and its role in improving and fortifying content moderation systems at LinkedIn. We also designed AutoML to support the addition of new algorithms to different components such as data-preprocessing, hyperparameter tuning, and metric computation.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Scott Logic

DECEMBER 14, 2024

In this blog post Im going to dig into the results in a bit more detail. I was also very happy to find an AoC dataset on Hugging Face going all the way back to 2015. They are instead following patterns from their training dataset. It was writing code to complete puzzles that took me half an hour or more, in just seconds!

Coding 98

Coding Datasets Software Engineer Software Engineering 98

LinkedIn Engineering

DECEMBER 20, 2023

By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys. These algorithms consider the diversity and context of signals to make informed decisions.

Building 91

Building Algorithm Kafka Machine Learning 91

Cloudera

SEPTEMBER 18, 2020

The 6 key takeaways from this blog are below: 6 key takeaways. Demand Forecasting – Companies must move beyond basic demand forecasting using only historical transaction data to leveraging real-time datasets and external consumer demand signals. The importance of real-time data. Greater visibility and forecast accuracy.

Manufacturing 84

Manufacturing Retail Datasets Machine Learning 84

Netflix Tech

OCTOBER 8, 2024

In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architecture. Configurability : TimeSeries offers a range of tunable options for each dataset, providing the flexibility needed to accommodate a wide array of use cases.

Bytes 95

Bytes Datasets Metadata Data 95

Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. Quantifications of data. Data annotation.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. Learn how to work with big data technologies to process and analyze large datasets.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. With FashionMNIST, 1 GPU is enough for us to fit the algorithm relatively quickly.

Deep Learning 75

Deep Learning Machine Learning Algorithm Data Science 75

Pinterest Engineering

MAY 17, 2023

In this blog post, we will walk through: The Warden Anomaly Detection Platform. Different approaches and algorithms would be needed to accommodate those differences. After researching different algorithms, we narrowed it down to Population Stability Index (PSI) and Kullback-Leibler Divergence/Jensen-Shannon Divergence (KLD/JSD).

Algorithm 94

Algorithm Engineering Machine Learning Project 94

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

Big Data 103

Big Data Machine Learning Medical Insurance 103

Knowledge Hut

JUNE 25, 2024

Let’s study them further below: Machine learning : Tools for machine learning are algorithmic uses of artificial intelligence that enable systems to learn and advance without a lot of human input. In this book, you will learn how to apply the most basic data science tools and algorithms from scratch. This book is rated 4.16

Data Science 97

Data Science Python Hadoop Machine Learning 97

Edureka

FEBRUARY 13, 2025

In this blog, we’ll explore Few-shot learning, its main ideas, and how it differs from traditional learning methods. To learn more about advanced AI topics, check out our blog on What is Generative AI. Method-1: Pairwise Similarity In this method, the Siamese network is taught with two examples from the dataset.

Deep Learning 52

Deep Learning Datasets Data Machine Learning 52