Flipboard

JULY 19, 2023

We create embeddings for each segment and store them in the open-source Chroma vector database via langchain’s interface. We save the database in an Amazon Elastic File System (Amazon EFS) file system for later use. In entered the Big Data space in 2013 and continues to explore that area. text.strip().replace('n',

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Smart Data Collective

JANUARY 26, 2021

Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. Even by 2013, 90% of the data in the world had been generated within the previous two years. How Does Big Data Architecture Fit with a Translation Company? That’s just staggering.

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Big Data Big Data Business Intelligence Business Intelligence 121

Smart Data Collective

SEPTEMBER 29, 2022

In Outlook 2013 and earlier versions, IMAP accounts also used.pst file. In addition, you can easily export OST data directly to Office 365 and any live database of Exchange Server. What’s the difference between PST and OST? PST file is used by legacy messaging protocols – POP, IMAP, or older mail servers.

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Smart Data Collective

SEPTEMBER 4, 2019

Maternal mortality rates in the United States jumped over 25% between 2000 and 2013. Big data is also being fed into databases from social media, blood tests, doctor visits, email, forums and a variety of other mediums. Understaffed hospitals and medical errors are causing most of the deaths.

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Big Data Big Data Database 77

Smart Data Collective

OCTOBER 13, 2021

Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. There is a large database that can help you find what you are looking for. A growing number of screenwriters are discovering the wonders of big data. It’s always about how you sell your remarkable project to them.

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Big Data Big Data Database Analytics 107

Dataconomy

AUGUST 25, 2023

Some commonly used datasets include CK+ (Extended Cohn-Kanade dataset), MMI (Multimedia Understanding Group database), AffectNet, and FER2013 (Facial Expression Recognition 2013). Datasets: Several datasets have been developed and used by the research community to train and evaluate facial expression detection models.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 171

Tableau

JANUARY 27, 2021

In 2020, we added the ability to write to external databases so you can use clean data anywhere. We’ll never dictate your technology stack, database preferences, or analytics strategy, so you can rely on Tableau no matter what data you have, no matter where it is. . And we extended the Prep connectivity options.

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Tableau

SEPTEMBER 25, 2013

Ryan Stryker Senior Technical Architect, Tableau Kathleen Goepferd September 25, 2013 - 11:56pm January 20, 2023 The modern Tableau Server offers Creators a Desktop-like experience for establishing database connections and drawing extracts.

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Tableau

SEPTEMBER 25, 2013

Ryan Stryker Senior Technical Architect, Tableau Kathleen Goepferd September 25, 2013 - 11:56pm January 20, 2023 The modern Tableau Server offers Creators a Desktop-like experience for establishing database connections and drawing extracts.

Tableau 52

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Tableau

JANUARY 27, 2021

In 2020, we added the ability to write to external databases so you can use clean data anywhere. We’ll never dictate your technology stack, database preferences, or analytics strategy, so you can rely on Tableau no matter what data you have, no matter where it is. . And we extended the Prep connectivity options.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Cambridge Intelligence

NOVEMBER 8, 2023

FREE: The ultimate guide to graph visualization Proven strategies for building successful graph visualization applications GET YOUR FREE GUIDE The earthquakes data source The data I used is from the USGS’s National Earthquake Information Center (NEIC), whose extensive databases of seismic information are freely available.

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Clustering Data Visualization Database Data Modeling 64

AWS Machine Learning Blog

FEBRUARY 2, 2024

In this pattern, the recipe text is converted into embedding vectors using an embedding model, and stored in a vector database. Incoming questions are converted to embeddings, and then the vector database runs a similarity search to find related content. In entered the Big Data space in 2013 and continues to explore that area.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Data pipelines In cases where you need to provide contextual data to the foundation model using the RAG pattern, you need a data pipeline that can ingest the source data, convert it to embedding vectors, and store the embedding vectors in a vector database. Vector database features built into other services.

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AWS AI AI Database 113

Smart Data Collective

APRIL 10, 2019

Every time someone goes shopping or buys a service (whether online or offline), their personal data is entered into a computer database. Target experienced one of the largest attacks in the history of retail America on or before Black Friday of 2013. Metadata is basically a trail of data that is spread out across a network.

Database 68

Database Big Data Big Data 68

Hacker News

MARCH 20, 2023

We tried several methods to reconstruct its original appearance: In 2013 we commissioned a picture by Greg O’Leary , a professional portrait artist. However, to identify Somerton Man using DNA databases, we needed to go to autosomal DNA—the kind that is inherited from both parents.

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Database Clustering AI AI 182

IBM Journey to AI blog

JANUARY 10, 2023

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. All SQL and Python code is executed against the NPS database using Jupyter notebooks, which capture query output and graphing of results during the analysis phase of the demonstration.

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Data Warehouse Data Analysis Data Analysis SQL 52

AWS Machine Learning Blog

JANUARY 4, 2024

To do this, the text input is transformed into a structured representation, and from this representation, a SQL query that can be used to access a database is created. The primary goal of Text2SQL is to make querying databases more accessible to non-technical users, who can provide their queries in natural language. gymnast_id = t2.

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SQL Database AI AI 120

AWS Machine Learning Blog

JUNE 23, 2023

Prerequisites For this post, the administrator needs the following prerequisites: A Snowflake user with administrator permission to create a Snowflake virtual warehouse, user, and role, and grant access to this user to create a database. The dataset includes credit card transactions in September 2013 made by European cardholders.

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ML ML Database AWS 75

Heartbeat

DECEMBER 8, 2023

Here are a few reasons why an agent needs tools: Access to external resources: Tools allow an agent to access and retrieve information from external sources, such as databases, APIs, or web scraping. Combining an agent’s decision-making abilities with the functionality provided by tools allows it to perform a wide range of tasks effectively.

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Deep Learning Deep Learning AI AI 52

ODSC - Open Data Science

FEBRUARY 28, 2023

Plotly In the time since it was founded in 2013, Plotly has released a variety of products including Plotly.py, which, along with Plotly.r, Offering an open-source NoSQL graph database, they have also worked with organizations such as eBay, NASA, Lyft, Airbnb, and more.

Data Science 96

Data Science AI AI Machine Learning 96

Mlearning.ai

JUNE 16, 2023

October 5, 2013. ImageNet: A Large-Scale Hierarchical Image Database.” December 14, 2015. link] [2] Donahue, Jeff, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.” link] [3] He, Kaiming, Ross Girshick, and Piotr Dollár.

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AI AI ML ML 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

Embeddings can be stored in a database and are used to enable streamlined and more accurate searches. To overcome this limitation, you can supplement prompts with up-to-date information using embeddings stored in vector databases, a process known as Retrieval Augmented Generation (RAG).

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AWS ML ML AI 111

Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 112

Database AWS ETL SQL 112

DrivenData Labs

DECEMBER 7, 2023

Summary of approach : Using a downsampling method with ChatGPT and ML techniques, we obtained a full NEISS dataset across all accidents and age groups from 2013-2022 with six new variables: fall/not fall, prior activity, cause, body position, home location, and facility.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

Hacker News

JULY 13, 2023

Harrison posted to his Facebook page in 2013 shows him holding a handgun and wearing a bulletproof vest. Brutium routinely advertised the sale of large, hacked databases, and on Jan. A selfie that William B. 24, 2015, this user posted a thread offering to sell data on 32 million Ashley Madison users.

Database 123

Database 123

Tableau

DECEMBER 1, 2021

IPO in 2013. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

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Tableau ML ML Database 144

Tableau

DECEMBER 1, 2021

IPO in 2013. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

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Tableau ML ML Database 98

ML Review

MAY 3, 2018

A somewhat-recent technique, taking inspiration from earlier work but popularised by Alex Graves’s in 2013/2014, it has grown in use partially from his memory-related work: the now-famous sequence generation paper [36] along with his work on neural turing machines. [37] Available: [link] (last update, 18/03/2013). 40] Chung et al.

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Deep Learning Deep Learning Natural Language Processing Machine Learning 52