Remove tags machine learning
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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

Historically, this SKU enrichment of extracting and tagging attributes has been a purely manual process led by contract operators. As our catalog expands, we seek new approaches driven by machine learning to auto-enrich SKU data. Figure 4 shows the LLM-powered pipeline for tagging our catalog SKUs with organic labels.

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. Why use vector search? Due to these difficulties, unstructured data has remained largely underutilized.

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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

Improve coverage with automated anomaly detection Monte Carlo uses machine learning detectors to monitor the health of data pipelines across dimensions like: Data freshness : Did the data arrive when we expected? Did one of the 58 dashboards tagged for marketing stop loading fresh data? Route it to fix ASAP. The other half?

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. These models learn the distributions of benign samples and leverage that knowledge for identifying anomalous samples at the inference time.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. To ensure that the algorithms used in the system are valid & effective, professionals in the industry aim to achieve certification through a Machine Learning certification exam.

Systems 71
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Getting started with Airflow in 10 mins

Marc Lamberti

Concretely, you must create data pipelines to produce valuable data for later analytics or machine learning. If you already have an Airflow instance running on your machine, skip this and jump to the DAG creation part. tags allow filtering DAGs on the user interface. Here, every day at midnight.

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How Financial Platform Tide Automated GDPR Compliance With Atlan and Snowflake

Snowflake

Snowflake & Atlan: Powering visibility, trust and automation The initial goal was to incorporate machine learning at Tide. After consulting with Atlan, Tide decided to use Atlan Playbooks to automatically identify, tag and classify data. In other words, it would take Tide two months to classify all of its sensitive data.

Finance 81