Hacker News

MARCH 20, 2023

In 2012, with the permission of the police, Janette used a magnifying glass to find where several hairs came together in a cluster. However, to identify Somerton Man using DNA databases, we needed to go to autosomal DNA—the kind that is inherited from both parents.

Database 182

Database Clustering AI AI 182

Data Science Dojo

MARCH 27, 2023

vmsd – This database file contains all the pertinent snapshot information. .vmsn It replaces the XML file found in 2012 R2 and earlier. Importantly, it also enables you to perform “application-aware” backups, which ensures that database applications are backed up in a transactionally consistent state.

Clustering 195

Clustering Database SQL 195

AWS Machine Learning Blog

APRIL 16, 2024

For example, you can visually explore data sources like databases, tables, and schemas directly from your JupyterLab ecosystem. After you have set up connections (illustrated in the next section), you can list data connections, browse databases and tables, and inspect schemas. This new feature enables you to perform various functions.

SQL 126

SQL AWS Database Data Scientist 126

AWS Machine Learning Blog

NOVEMBER 13, 2024

It works by analyzing the visual content to find similar images in its database. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. To do so, you can use a vector database. Retrieve images stored in S3 bucket response = s3.list_objects_v2(Bucket=BUCKET_NAME)

AWS 125

AWS Database K-nearest Neighbors AI 125

Hacker News

MARCH 18, 2024

From that story: From the samples shared by the threat actor, the database contains customers' names, addresses, phone numbers, Social Security numbers, and date of birth. Fast forward two and a half years and the successor to this forum saw a post this week alleging to contain the entire corpus of data.

Database 181

Database 181

AWS Machine Learning Blog

APRIL 16, 2024

IAM role that is used by the bot at runtime BotRuntimeRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Principal: Service: - lexv2.amazonaws.com For more information, refer to Enabling custom logic with AWS Lambda functions.

AWS 124

AWS Deep Learning Deep Learning Artificial Intelligence 124

AWS Machine Learning Blog

SEPTEMBER 3, 2024

In this post, we explore how to build a scalable and efficient RAG system using the new EMR Serverless integration, Spark’s distributed processing, and an Amazon OpenSearch Service vector database powered by the LangChain orchestration framework. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*" elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

AWS 125

AWS Clustering Big Data Big Data 125

phData

MAY 17, 2024

USE ROLE admin; GRANT USAGE ON DATABASE admin_db TO ROLE analyst; GRANT USAGE ON SCHEMA admin_schema TO ROLE analyst; GRANT CREATE SNOWFLAKE.ML.FORECAST ON SCHEMA admin_db.admin_schema TO ROLE analyst; Next, let’s create the table to house the historical data in our Walmart Demand Forecasting.

ML 52

ML ML Predictive Analytics Machine Learning 52

AWS Machine Learning Blog

DECEMBER 29, 2022

Now that signals are being generated, we can set up IoT Core to read the MQTT topics and direct the payloads to the Timestream database. Choose Create Timestream database. Select Standard database. Name the database sampleDB and choose Create database. Choose Create rule. Enter a rule name and choose Next.

Machine Learning 102

Machine Learning Machine Learning AWS Database 102

AWS Machine Learning Blog

JULY 17, 2023

The SourceIdentity attribute is used to tie the identity of the original SageMaker Studio user to the Amazon Redshift database user. The actions by the user in the producer account can then be monitored using CloudTrail and Amazon Redshift database audit logs. On the Select trusted entity page, select Custom trust policy.

Clustering 88

Clustering AWS ML ML 88

AWS Machine Learning Blog

MAY 17, 2023

An existing database within Snowflake. Upload facies CSV data to Snowflake In this section, we take two open-source datasets and upload them directly from our local machine to a Snowflake database. Do the same for the validation database. This assumes that the database is called NICK_FACIES. Choose Add connection.

ML 101

ML ML AWS Database 101

ODSC - Open Data Science

FEBRUARY 28, 2023

CARTO Since its founding in 2012, CARTO has helped hundreds of thousands of users utilize spatial analytics to improve key business functions such as delivery routes, product/store placements, behavioral marketing, and more.

Data Science 96

Data Science AI AI Machine Learning 96

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.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. If you want to do the process in a low-code/no-code way, you can follow option C.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

JULY 2, 2024

After the doctor has successfully signed in, the application retrieves the list of patients associated with the doctor’s ID from the Amazon DynamoDB database. Before querying the knowledge base, the Lambda function retrieves data from the DynamoDB database, which stores doctor-patient associations.

AWS 135

AWS Data Governance Database Artificial Intelligence 135

ODSC - Open Data Science

FEBRUARY 13, 2024

In 2012, records show there were 447 data breaches in the United States. REGISTER NOW Mapping Uncovered Data All of the databases are identified. The data flow mapping process is used to help you take a couple of steps back to see the entire architecture and all the databases within it from a distance.

Data Science 52

Data Science Database Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 8, 2023

Deploys an Amazon Aurora Serverless database for the data store and Amazon Simple Storage Service (Amazon S3) for the artifact store. The RestApiGatewayStack stack performs the following actions: Exposes the MLflow server via AWS PrivateLink to an REST API Gateway. mlflow/runs/search/", "arn:aws:execute-api: : : / /POST/api/2.0/mlflow/experiments/search",

AWS 92

AWS Data Science Machine Learning Machine Learning 92

phData

AUGUST 22, 2023

LDP is a comprehensive tool that can be used to replicate data from a variety of sources, including databases, files, and applications. Windows Server: 2012 R2, 2016, 2019 In this blog, we will do a deep dive into understanding LDP Architecture. Fivetran LDP is compatible with popular operating systems like: AIX_6.1-POWERPC-64BIT

Database 52

Database Data Warehouse Cloud Data Analytics 52

phData

AUGUST 22, 2023

LDP (or HVR) is a comprehensive tool that can be used to replicate data from a variety of sources, including databases, files, and applications. Windows Server: 2012 R2, 2016, 2019 In this blog, we will do a deep dive into understanding LDP (HVR) Architecture. Fivetran LDP (HVR) is compatible with popular operating systems like: AIX_6.1-POWERPC-64BIT

Database 52

Database Data Warehouse Cloud Data Analytics 52

phData

MARCH 22, 2024

c.i. { "Version": "2012-10-17", "Statement": [ { "Sid": "", "Effect": "Allow", "Principal": { "AWS": " " }, "Action": "sts:AssumeRole", "Condition": { "StringEquals": { "sts:ExternalId": " " } } } ] } Grant usage on external volume to the role used to create Iceberg tables.

SQL 52

SQL AWS Database Data Lakes 52

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

IBM Journey to AI blog

MARCH 29, 2024

GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. The resolver provides instructions for turning GraphQL queries, mutations, and subscriptions into data, and retrieves data from databases, cloud services, and other sources.

Data Profiling 94

Data Profiling Database Data Modeling Data Models 94

Flipboard

JULY 31, 2023

Pascal VOC 2012 Pascal VOC 2012 is a large-scale dataset of images used for object detection and image classification. The latest version, Pascal VOC 2012, contains 11,500 images divided into 20 object classes. So, what does the MNIST database look like?

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. That’s your full suite of BI tools , databases and data sources, cloud data warehouses , connectors, and other beloved tools in the modern data stack. It must: 1) connect to everything and 2) be engaged and adopted by everyone.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

AWS Machine Learning Blog

JUNE 19, 2023

Alternatively, you can adopt a naming standard for IAM role ARNs based on the AD group name and derive the IAM role ARN without needing to store the mapping in an external database.

AWS 97

AWS ML ML Machine Learning 97

AWS Machine Learning Blog

MARCH 15, 2024

The orchestrating Lambda function calls the Amazon Bedrock LLM endpoint to generate a final order summary including the order total from the customer database system (for example, Amazon DynamoDB ). The order summary is communicated back to the customer via Amazon Lex. After the customer confirms the order, the order will be processed.

AWS 141

AWS AI AI Python 141

The MLOps Blog

JANUARY 11, 2023

RedShift , the data source and can be backend-connected to other sources and databases or replaced by any other type of data source like S3 buckets or DynamoDB. Imagine, as a use case, you need to access different databases by writing a complex query and then writing a summary to another table.

AWS 52

AWS Machine Learning Machine Learning ML 52

AssemblyAI

AUGUST 15, 2023

Around 2012 to 2014, developers proposed updating these modules, but were told to use third party libraries instead. Actions include dedicating a host for the data team, database tuning, and improving demand on the database. However, over time these modules became outdated. More work is needed to determine the best solutions.

Python 52

Python Machine Learning Machine Learning Algorithm 52

Dataconomy

AUGUST 10, 2023

Utilizing its CognitiveML engine, Iodine Software implements advanced machine learning across various use-case scenarios within a database of patient admissions. Simultaneously, Iodine Labs serves as an incubator for new technology ideas, delivering real-time insights.

Natural Language Processing 91

Natural Language Processing AI AI Artificial Intelligence 91

IBM Journey to AI blog

JULY 19, 2023

Business Value As per FAERS database , the number of reported AEs has grown 2.5x in 10 years, from 2012 to 2022. Regardless of volumes, companies must report these events rapidly to regulators and act quickly on safety signals.

AWS 73

AWS AI AI Machine Learning 73

phData

MAY 4, 2023

Teradata was founded in 1979, and it was a revolutionary DBMS (Database Management System) capable of parallel processing with more than one processor at the same time. Snowflake was founded in 2012 and is rapidly changing how people think about data warehousing solutions. What is Teradata? What is Snowflake?

SQL 52

SQL Data Warehouse Azure Big Data 52

AWS Machine Learning Blog

MAY 5, 2023

After modeling, detected services of each architecture diagram image and its metadata, like URL origin and image title, are indexed for future search purposes and stored in Amazon DynamoDB , a fully managed, serverless, key-value NoSQL database designed to run high-performance applications. join(", "), }; }).catch((error)

AWS 110

AWS ETL ML ML 110

Explosion

FEBRUARY 18, 2015

NLTK 4ms 443ms n/a 20x 443x n/a Set up : 100,000 plain-text documents were streamed from an SQLite3 database, and processed with an NLP library, to one of three levels of detail — tokenization, tagging, or parsing. Hardware : Intel i7-3770 (2012) Efficiency is a major concern for NLP applications. ZPar 1ms 8ms 850ms 5x 8x 44.7x

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

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

O'Reilly Media

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

AI 98

AI AI ML ML 98

Hacker News

JANUARY 9, 2024

And in a similar vein, we can expect LLMs to be useful in making connections to external databases, functions, etc. And in 2012 we introduced Quantity to represent quantities with units in the Wolfram Language. But in Version 14.0 we’ve actually added one function— DigitSum —that was suggested to us by LLMs.

Python 181

Python Algorithm Machine Learning Machine Learning 181

phData

NOVEMBER 8, 2023

Although Snowflake does support authentication federation, accounts still need to be provisioned within Snowflake (along with databases, schemas, and roles, as well as your information architecture). it is widely used by companies including Amazon, LinkedIn, Microsoft, and Netflix.

SQL 52

SQL Azure Data Engineering Data Engineer 52