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sergiocuellar.bsky.social
Amazon SageMaker Feature Store now supports feature-level writes with the new UpdateRecord API, reducing latency and costs for updating ML features. #AWS #MachineLearning #FeatureEngineering
Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes | Amazon Web Services
Amazon SageMaker Feature Store now supports feature-level writes. With the new UpdateRecord API, you can update one or more feature values in a single call without reading or rewriting the entire record. It is available for both the Standard (Amazon DynamoDB) and In-Memory (Amazon ElastiCache) online store tiers.
aws.amazon.com
October 8, 2026 at 6:39 AM
ai-ru.at.thenote.app
Инженерное проектирование признаков с помощью LLM: методы и примеры на Python

Инженерная обработка признаков — основа эффективных систем машинного обучения, но традиционный процесс часто является ручным, трудоемким и зависит от опыта в предметной …

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#ai #featureengineering #llm
Feature Engineering with LLMs: Techniques & Python Examples
www.analyticsvidhya.com
May 8, 2026 at 1:38 PM
ai-ru.at.thenote.app
Парадокс хранилища признаков: проектирование обработки признаков в реальном времени для ИИ

ИИ терпит неудачу не из-за слабых моделей — он терпит неудачу из-за плохой архитектуры данных. Такие проблемы, как утечка данных, устаревшие признаки и нес…

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#ai #featureengineering #news
The Feature-Store Paradox: Architecting Real-Time Feature Engineering for AI
hackernoon.com
April 10, 2026 at 8:14 PM
ai-ru.at.thenote.app
Конвейеры масштабирования признаков с Feast и Ray

Использование хранилищ признаков, таких как Feast, и распределенных вычислительных фреймворков, таких как Ray, в производственных системах машинного обучения

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#ai #featureengineering #rayproject
Scaling Feature Engineering Pipelines with Feast and Ray
towardsdatascience.com
February 27, 2026 at 2:11 AM
ai-ru.at.thenote.app
Особенности задержки и перемещённые функции в инженерии функций

Успех конвейеров машинного обучения зависит от разработки признаков как их фундаментальной основы. Два самых сильных метода обработки данных временных рядов — это лаговые признаки и …

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#ai #featureengineering #news
Lag Features and Rolling Features in Feature Engineering
www.analyticsvidhya.com
February 25, 2026 at 5:24 AM
ai-ru.at.thenote.app
Промпт-инжиниринг против инжиниринга признаков: Скрытый мост между человеком и машиной

И инжиниринг подсказок, и инжиниринг признаков служат одной и той же невидимой цели — преобразованию нечетких человеческих намерений во что-то понятное машин…

👉 Telegram ИИ Дайджест
#ai #featureengineering #news
Prompt vs Feature Engineering: The Hidden Bridge Between Humans and Machines
hackernoon.com
October 25, 2025 at 8:00 AM
ai-ru.at.thenote.app
Настройка гиперпараметров и инжиниринг признаков: руководство по оптимизации моделей машинного обучения

Достижение пиковой производительности моделей машинного обучения в большей степени зависит от настройки гиперпараметров и инжиниринга призна…

#featureengineering #hyperparameter #machinelearning
Hyperparameter Tuning and Feature Engineering: A Guide to Optimizing Machine Learning Models
dzone.com
October 7, 2025 at 3:40 PM
ai-ru.at.thenote.app
Инженерия признаков веб-сайта в масштабе: PySpark, Python и Snowflake

Введение и проблема. Представьте, что вы смотрите на базу данных, содержащую тысячи продавцов из разных стран, каждый со своим веб-сайтом. Ваша цель? Определить лучших кандидатов для сотрудничества…

#ai #featureengineering #news
Website Feature Engineering at Scale: PySpark, Python & Snowflake
towardsdatascience.com
May 6, 2025 at 3:48 PM
freelancebarme.bsky.social
With the rise of LLMs, traditional ML concepts like feature engineering may take a backseat. #MachineLearning #FeatureEngineering https://machinelearningmastery.com/5-advanced-feature-engineering-techniques-with-llms-for-tabular-data/
5 Advanced Feature Engineering Techniques with LLMs for Tabular Data - MachineLearningMastery.com
In this article, you will learn practical, advanced ways to use large language models to engineer features that fuse structured (tabular) data with text for stronger downstream models.
machinelearningmastery.com
November 1, 2025 at 4:44 AM
freelancebarme.bsky.social
Enhancing time-series data for machine learning is crucial for effective models. #FeatureEngineering #TimeSeriesAnalysis https://machinelearningmastery.com/7-pandas-tricks-for-time-series-feature-engineering/
https://machinelearningmastery.com/7-pandas-tricks-for-time-series-feature-engineering/
machinelearningmastery.com
August 19, 2025 at 10:44 PM
freelancebarme.bsky.social
Discover the importance of feature scaling in data preprocessing for better model performance and results! Learn more about #datascience and #featureengineering in this insightful article. Read more on Stackademic! https://blog.stackademic.com/scientific-writing-4-statistical-analysis-reporting-in-…
https://blog.stackademic.com/scientific-writing-4-statistical-analysis-reporting-in-data-science-best-practices-and-examples-9542b70f5097?source=rss----d1baaa8417a4---4
Scientific Writing for Data Science — Part 4/18
blog.stackademic.com
July 16, 2025 at 8:32 AM
beefedai.bsky.social
Feature Store Strategy: Building a Trusted, Scalable Platform

https://beefed.ai/en/design-trusted-scalable-feature-store

#FeatureStoreDesign #FeatureEngineering #DataReliability #PointintimeJoins #FeatureGovernance
Feature Store Strategy: Building a Trusted, Scalable Platform
beefed.ai
August 1, 2026 at 3:33 PM
beefedai.bsky.social
Predictive Demand Forecasting: From Simple Models to ML

https://beefed.ai/en/predictive-demand-forecasting-ml

#DemandForecasting #MachineLearningForecasting #FeatureEngineering #ForecastAccuracy #TimeSeriesModels
Predictive Demand Forecasting: From Simple Models to ML
beefed.ai
April 2, 2026 at 11:54 AM
carl24k.bsky.social
#datascience #livestream Going Live Now : #machinelearning #featureengineering for #saas and #subscription products - Based on Fighting #Churn With #data, Manning Publications Co.
www.twitch.tv/carl24k_data...
January 27, 2024 at 6:45 PM
jmcastagnetto.bsky.social
From #Google #Research: "Introducing #TabFM: A zero-shot #foundation #model for tabular #data"

research.google/blog/introdu...

... a foundation model designed specifically for tabular data #classification and #regression ...

#AI #FeatureEngineering #InContextLearning
Introducing TabFM: A zero-shot foundation model for tabular data
research.google
July 2, 2026 at 8:11 PM
jmcastagnetto.bsky.social
"Basic Feature Engineering with #DuckDB"

#ML #FeatureEngineering

duckdb.org/2025/08/15/m...
August 16, 2025 at 1:07 PM
solegalli.bsky.social
👉MICE is a powerful method for datasets with missing data across multiple variables. 

Let this slide guide you through how it works. 

#machinelearning #MICE #mlmodels #datascience #dataengineering #imputation #featureengineering
August 27, 2025 at 4:02 PM
solegalli.bsky.social
10 models are better than 1.

How can you combine the predictions of multiple models to improve the overall acuracy? 

#machinelearning #mlmodels #datascience #dataengineer #ai #programming #featureengineering
May 14, 2025 at 10:01 AM
aidailypost.com
Before you dive into deep learning, nail the basics—linear regression, decision trees, and solid feature engineering. Those core algorithms still drive real business value. Curious how they stack up against neural nets? Read on! #LinearRegression #DecisionTrees #FeatureEngineering

🔗
December 7, 2025 at 11:58 AM
laomusicarts.bsky.social
LAOMUSIC ARTS 2025
presents

I just finished the course “Data Preparation, Feature Engineering, and Augmentation for AI Models” by Dan Sullivan!

Check it out:

www.linkedin.com/learning/dat...

#lao #music #arts #laomusicarts #ai #retrievalaugmentedgeneration #datapreparation #featureengineering
Welcome to this course - Data Preparation, Feature Engineering, and Augmentation for AI Models Video Tutorial | LinkedIn Learning, formerly Lynda.com
Join Dan Sullivan for an in-depth discussion in this video, Welcome to this course, part of Data Preparation, Feature Engineering, and Augmentation for AI Models.
www.linkedin.com
December 29, 2025 at 10:04 AM
flavio58.bsky.social
#FeatureEngineering in Practice — Approaching (Almost) Any #MachineLearning Problem! Get book: amzn.to/2XJUczh by

Download PDF copy: github.com/abhishekkrth...
#BigData #AI #DataScience #DataScientists #DeepLearning #Python
February 22, 2024 at 5:30 AM
matasoft.bsky.social
Analysts: tired of manually labeling text columns before modeling? (Un)Perplexed Spready lets AI formulas with prompts turn messy text into structured features in‑sheet.
matasoft.hr/qtrendcontro...
#DataScience #FeatureEngineering #LLM #AI
Try (Un)Perplexed Spready in Your Browser
Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.
matasoft.hr
February 18, 2026 at 7:35 PM
matasoft.bsky.social
Ops teams: standardise entries, classify tickets and label entities directly in spreadsheets using AI formulas, not scripts. That’s the promise of (Un)Perplexed Spready.
matasoft.hr/qtrendcontro...
#Ops #AISpreadsheet #ProcessAutomation #DataScience #FeatureEngineering #AISpreadsheet #AI #LLM
Try (Un)Perplexed Spready in Your Browser
Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.
matasoft.hr
February 14, 2026 at 8:10 PM
matasoft.bsky.social
Data & analytics pros: use (Un)Perplexed Spready as a prompt‑driven feature generator for text spreadsheet columns—then export CSV into your ML or BI stack.
matasoft.hr/qtrendcontro...
#DataScience #FeatureEngineering #AISpreadsheet #SpreadsheetAI #PromptEngineering #Ollama #Spreadsheets #LLM #AI
February 14, 2026 at 7:56 PM