FlowingData

AUGUST 2, 2022

The pool of possible people comes from a cross-verified database of 2.29 Tags: people , Topi Tjukanov. million people, based on Wikipedia entries and Wikidata. You can also see the most notable person per category: culture, science, leadership, and sports. See also The Pudding’s U.S.

Database 102

Database 102

FlowingData

DECEMBER 29, 2021

It’s not only a database; it allows people to get lost inside it, no pun intended,” he said. “If You can also browse the data visualization tag to see some of the earliest made charts. Tags: David Rumsey , history , San Francisco Chronicle. For preservation, I wish we saw more of this and less blockchain.

Data Visualization 113

Data Visualization Database 113

FlowingData

OCTOBER 4, 2021

We can clearly see this in the number of updates we received from Facebook when checking our time-series BGP database. Tags: Cloudflare , facebook. Normally this chart is fairly quiet: Facebook doesn’t make a lot of changes to its network minute to minute. But at around 15:40 UTC we saw a peak of routing changes from Facebook.

Database 123

Database 123

Cambridge Intelligence

APRIL 4, 2023

The Neo4j graph data platform Neo4j has cemented itself as the market leader in graph database management systems, so it’s no surprise that many of our customers want to visualize connected data stored in Neo4j databases. The Neo4j resources I’ll use in this tutorial are: Neo4j AuraDB – Neo4j’s cloud graph database service.

Data Visualization 59

Data Visualization Database Database Administration Data Modeling 59

FlowingData

MAY 25, 2022

The Washington Post maintains a database of school shootings (which is sad in itself that such a thing has to exist) to keep record of tragedy that the U.S. Tags: school , shootings , Washington Post. government does not track.

Database 92

Database 92

Dataconomy

JUNE 14, 2023

In practical terms, function calling allows us to create sophisticated chatbots, process natural language into database queries, or even extract structured data from text. Sufficient for most general applications: For many applications, such as creating simple chatbots or converting natural language into database queries, GPT-3.5-turbo

Database 193

Database AI AI Artificial Intelligence 193

FlowingData

NOVEMBER 15, 2021

This enabled me to build a database of all the segments of road that are listed as heading towards various cities. Tags: cities , commute , interstate , Matt Dzugan.

Database 88

Database 88

Hacker News

JULY 17, 2023

She wanted students to know that there are things called databases. That databases, if they are designed well, are easy to index and to find information in. Databases could be used to automatically generate Web pages. We used these blocks to talk about queries and database design in the class.

Database 122

Database Computer Science Computer Science Algorithm 122

phData

DECEMBER 29, 2022

Traditionally, database administrators (DBAs) would run scripts that were manually generated through each environment to make changes to the database. This includes things like creating and modifying databases, schemas, and permissions. table1, match on the Snowflake database and table (ignoring the schema).

SQL 52

SQL Database Database Administration Data Profiling 52

Dataconomy

NOVEMBER 24, 2023

The breach brought to light a database ominously dubbed “Ashkenazi DNA Data of Celebrities,” laying bare personal details such as names, genders, and ancestral origins. The 23andMe DNA Test Kit, a go-to for those delving into their ancestry, now presents an unprecedented opportunity with a slashed price tag.

Database 103

Database 103

AWS Machine Learning Blog

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. In the Vector database section, choose Quick create a new vector store. In the Vector database section, take note of the collection ARN. Metadata can be string, number, or Boolean.

AWS 105

AWS Database AI AI 105

phData

MARCH 29, 2023

However, many analysts and other data professionals run into two common problems: They are not given direct access to their database They lack the skills in SQL to write the queries themselves The traditional solution to these problems is to rely on IT and data engineering teams. DB Query: Runs a custom query against the database connection.

Database 52

Database SQL Analytics Analytics 52

Dataconomy

MARCH 11, 2024

This gateway is no ordinary database; it’s a treasure trove of critical data and tools crucial for sizing up the nation’s infrastructure. Not stopping there, a few weeks on, it sounded the alarm that threat actors were actively exploiting a trio of Ivanti vulnerabilities, tagged CVE-2023-46805, CVE-2024-21887, and CVE-2024-21893.

Database 127

Database 127

FlowingData

JUNE 28, 2022

Felix Krause tracks many metrics of his life, both manually and passively, and put the data in one database. Tags: Felix Krause , life. He put up a subset of the data on an updating site that shows where he is, what he’s eaten, how he’s feeling, the time he spent on the computer, and plenty more.

Database 91

Database 91

Flipboard

APRIL 6, 2023

In addition to using the technology on the back-end to create headlines, research keywords, generate meta tags and product descriptions, Ingenio has published more than 1,000 articles around popular search queries on Horoscope.com and Astrology.com using generative AI since the beginning of 2022.

AI 129

AI AI Data Analysis Data Analysis 129

AssemblyAI

MARCH 3, 2024

Produce digestible insights that can be easily categorized, tagged, and searched. A market research platform serves as a large customer knowledge database and command center. For example, users can automatically generate key highlights from survey responses, analyze customer sentiment, categorize and tag conversations, and more.

AI 59

AI AI Clustering Data Analysis 59

Dataconomy

AUGUST 31, 2023

Unfortunately, they have to fill out similar forms, look for the needed client in the database, and switch between different channels. Content Tagging : tagging files to find them faster. Not only this behavior harms their productivity and leads to burn-out. It also raises a risk of losing or messing up crucial information.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 103

Smart Data Collective

AUGUST 25, 2021

Image Tagging. Like visual search, image tagging also uses visual recognition technology. If you click one of the labels, the platform will direct you to visually similar results under that tag. Image tagging offers quick and relevant search results to users. Using contact information in your database.

Artificial Intelligence 136

Artificial Intelligence Artificial Intelligence AI AI 136

Data Science Dojo

MAY 18, 2023

He will demonstrate how LAAM is using AI to improve product understanding and tagging for the catalog, creating personalized feeds, optimizing search results, utilizing generative AI to develop new designs, and predicting production and inventory needs. If you’re new to SQL, this beginner-friendly tutorial is for you!

Data Science 195

Data Science AI AI SQL 195

Dataconomy

SEPTEMBER 22, 2023

Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases. By removing infrequently accessed data from primary storage systems, organizations can improve the performance of their applications and databases, which can lead to increased productivity and efficiency.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

FlowingData

APRIL 16, 2024

For Bloomberg, Daniela Sirtori, Madeline Campbell, and Marie Patino do some product counting : Data collected by the California Department of Public Health showed 108 potentially harmful substances listed as fragrance ingredients in everyday products ranging from face wash to conditioner, a Bloomberg analysis of database entries as of Feb.

Database 113

Database 113

AWS Machine Learning Blog

MAY 18, 2023

Configure optional encryption settings and tags. Enter optional tags. This dataset has PDF documents categorized into multiple directories based on the type of documents (for example, documents related to AWS database options, security, and ML). For Index name , enter a name for the index (for example, my-sharepoint-index ).

AWS 76

AWS Database ML ML 76

Snorkel AI

JANUARY 30, 2024

Document chunking and tagging First, we had to improve how the application chunked and tagged documents. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream. For example, the retrieval model struggled with questions about dates.

AI 52

AI AI Algorithm Data Scientist 52

Snorkel AI

JANUARY 30, 2024

Document chunking and tagging First, we had to improve how the application chunked and tagged documents. Used correctly, they form the foundation of an application ecosystem where data feeds various system components both upstream and downstream. For example, the retrieval model struggled with questions about dates.

AI 52

AI AI Algorithm Data Scientist 52

phData

NOVEMBER 1, 2023

Cloud computing resources come with a price tag, and without proper cost management, you might find your cloud expenses spiraling out of control. Storage: Amount of table data in the primary database, or databases in a replication/failover group, that changes as a result of data loading or DML operations.

Data Warehouse 52

Data Warehouse SQL Database Cloud Computing 52

FlowingData

MARCH 27, 2024

Based on data from a cross-verified database of notable people , Tulp scrolls through history to show when these people enter and leave the world based on their age. Tags: history , Jan Willem Tulp , timeline This is a fun project by Jan Willem Tulp. Start in 3500 BC and scroll from there.

Database 86

Database 86

DataRobot

JUNE 9, 2021

This often unduly increases model pipeline complexity, with major nuances being the pulling and shifting of data from where your data lives in production databases and handing machine learning operations teams a series of model artifacts with dependencies that need to be reassembled to put that model into production. Availability.

Machine Learning 52

Machine Learning Machine Learning Database Data Preparation 52

Hacker News

MARCH 25, 2022

By finding patterns between elements mathematically, transformers eliminate that need, making available the trillions of images and petabytes of text data on the web and in corporate databases. Transformers use positional encoders to tag data elements coming in and out of the network. Reading Molecules, Medical Records.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

AWS Machine Learning Blog

OCTOBER 30, 2023

When building such generative AI applications using FMs or base models, customers want to generate a response without going over the public internet or based on their proprietary data that may reside in their enterprise databases. For Name tag , enter bedrock-vpce. Choose Create endpoint.

AWS 125

AWS ML ML AI 125

Iguazio

FEBRUARY 20, 2024

The data pipeline ingests data from different sources and performs multiple actions like transformations, cleaning, versioning, tagging, labeling, indexing and more. Finally, the data is indexed in the vector database. What are the Key Elements of Data Management in Gen AI? Once data is ingested, it goes through transformations.

AI 52

AI AI Data Pipeline Data Quality 52

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. A fusion of content with AI However, these steps are not universal.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. A fusion of content with AI However, these steps are not universal.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

phData

FEBRUARY 7, 2023

As administrators of the Snowflake Data Cloud platform begin to see adoption grow, they have to deal with an increasing backlog of requests for user onboarding, data access, and project resources such as databases, schemas, warehouses, etc. What is Tram? As you know, data governance can be a hefty, time-consuming task to manage on your own.

SQL 52

SQL Database Data Governance 52

Smart Data Collective

OCTOBER 7, 2023

Not only do people share their personal milestones and daily snippets here, but they also check in at various places, tag friends, and announce plans. Wearable Tech: More Than Just Fitness From Fitbits to Apple Watches, wearable tech often syncs with cloud databases, tracking everything from our heart rate to our steps.

AI 95

AI AI Artificial Intelligence Artificial Intelligence 95

Applied Data Science

MAY 6, 2021

To keep myself sane, I use Airflow to automate tasks with simple, reusable pieces of code for frequently repeated elements of projects, for example: Web scraping ETL Database management Feature building and data validation And much more! It’s a lot of stuff to stay on top of, right? What’s Airflow, and why’s it so good?

Data Scientist 130

Data Scientist Python Data Science Database 130

Mlearning.ai

JULY 29, 2023

INTRODUCTION Recently I had the pleasure to explore different options to automate a daily ML inference job, which reads raw data from a database table and write the inference results to another table. Tag and push this image to Azure Container Registry. So getting the codes from your remote repo is a breeze.

Azure 52

Azure Machine Learning Machine Learning ML 52

AWS Machine Learning Blog

APRIL 24, 2024

In the pipeline, we used Amazon OpenSearch Service for the vector database, and deployed a fine-tuned Mistral-7B-Instruct model on Amazon SageMaker. First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. Also provide the reason to give this score inside of tags.

AI 110

AI AI Data Science AWS 110