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.

ML 98

ML ML Database AWS 98

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 Machine Learning Machine Learning AI 96

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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AWS Database AI AI 94

AWS Machine Learning Blog

NOVEMBER 22, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. Embeddings can be stored in a database and are used to enable streamlined and more accurate searches.

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AWS ML ML AI 137

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.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

ML Review

MAY 3, 2018

In some senses, we are getting closer to a generalisable artificial intelligence; knowledge in deep learning is consolidating into a more paradigmatic approach. Available: [link] (last update, 18/03/2013). Such congruency allows researchers from all disciplines to leverage AI in new and exciting ways. 40] Chung et al.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

Hacker News

MARCH 18, 2025

And as a first indication of this, we can plot the number of new Life structures that have been identified each year (or, more specifically, the number of structures deemed significant enough to name, and to record in the LifeWiki database or its predecessors): Theres an immediate impression of several waves of activity.

Algorithm 171

Algorithm Machine Learning Machine Learning Data Science 171