Alation

FEBRUARY 13, 2020

They may reside in a data lake, warehouse, master data repository, or any other shared data resource. People metadata describes those who work with data—consumers, curators, stewards, subject matter experts, etc. Search metadata supports tagging and keywords to help people find data.

Data Lakes 64

Data Lakes Data Analysis Data Analysis Big Data 64

AWS Machine Learning Blog

SEPTEMBER 14, 2023

It can be difficult to find insights from this data, particularly if efforts are needed to classify, tag, or label it. It makes it easier to locate relevant information and see connections between related content. As human tagging or categorization is no longer necessary, this can save businesses a lot of time, money, and labor.

AWS 95

AWS Machine Learning Machine Learning Data Scientist 95

Snorkel AI

JANUARY 11, 2023

Pixability is a data and technology company that allows advertisers to quickly pinpoint the right content and audience on YouTube. Given this deluge of content, advertisers struggle to identify whether videos are brand-aligned (and brand-safe). Every minute, another 500 hours are added to the platform.

Data Warehouse 52

Data Warehouse Natural Language Processing Data Scientist Data Quality 52

Flipboard

MARCH 22, 2023

We also detail the steps that data scientists can take to configure the data flow, analyze the data quality, and add data transformations. Finally, we show how to export the data flow and train a model using SageMaker Autopilot. In the Tags section, add a tag with the key SageMaker and value true.

AWS 100

AWS Data Preparation Azure ML 100

Mlearning.ai

DECEMBER 21, 2023

More often than naught, transformations/clean-ups to the loaded data will be required like removing duplicate content, html parsing, etc. LangChain also provides a variety of document transformers Document Splitting Once the data is loaded, the next step in the indexing pipeline is splitting the documents into manageable chunks.

Database 94

Database AI AI Machine Learning 94

The MLOps Blog

JUNE 27, 2023

Data quality control: Robust dataset labeling and annotation tools incorporate quality control mechanisms such as inter-annotator agreement analysis, review workflows, and data validation checks to ensure the accuracy and reliability of annotations. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Chatbots Life

SEPTEMBER 11, 2023

It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. TextBlob is a versatile Python library that offers a comprehensive suite of features for processing textual data.

Natural Language Processing 59

Natural Language Processing Python ML ML 59

AWS Machine Learning Blog

NOVEMBER 15, 2023

Content redaction: Each customer audio interaction is recorded as a stereo WAV file, but could potentially include sensitive information such as HIPAA-protected and personally identifiable information (PII).

AWS 111

AWS Analytics Analytics ML 111

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Wayfair does this by automating image tagging using a data-centric approach.

AI 64

AI AI ML ML 64

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Wayfair does this by automating image tagging using a data-centric approach.

AI 59

AI AI ML ML 59

Heartbeat

FEBRUARY 29, 2024

Photo by Nathan Dumlao on Unsplash Introduction Web scraping automates the extraction of data from websites using programming or specialized tools. Required for tasks such as market research, data analysis, content aggregation, and competitive intelligence. A set of tags is used to structure content on the Internet.

Python 52

Python Deep Learning Deep Learning Data Quality 52

The MLOps Blog

AUGUST 3, 2023

One of the features that Hamilton has is that it has a really lightweight data quality runtime check. If you’re using tabular data, there’s Pandera. There was a tech branding team that I was part of, which was trying to get quality content out. That helps the Stitch Fix brand, which helps with hiring.

ML 52

ML ML Data Scientist Machine Learning 52