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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance. This helps businesses to develop responsive, practical business strategies. trillion gigabytes!

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) We pass 3 parameters: loss, optimizer , and metrics.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

AWS Big Data

Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). To avoid these types of issues, test the logic of your materialized view definition carefully; otherwise, land the records into the default VARBYTE column and process them later.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$.

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SmugMug’s durable search pipelines for Amazon OpenSearch Service

AWS Big Data

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage. Stay tuned for results.