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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. In isolation, the $x_1$-system is optimal: changing $x_1$ and leaving the $x_2$ at 0 will decrease system performance.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. You just specify your desired price-performance targets to either optimize for cost or optimize for performance or balanced and serverless does the rest.

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Two Reasons Why Apache Cassandra Is the Database for Real-Time Applications

CIO Business Intelligence

There are many statistics that link business success to application speed and responsiveness. Some NoSQL database products were also engineered with data center awareness, meaning the database is configured to logically group together certain instances to optimize the distribution of user data and workloads.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

With optimized configuration, it aims for high recall for the queries. You will see the Ray dashboard and statistics of the jobs and cluster running. He entered the big data space in 2013 and continues to explore that area. OpenSearch Service supports ANN as well as exact k-NN search. Run the following command: /session.sh

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. Machine Learning-based detection – using statistical learning is another approach that is gaining popularity, mostly because it is less laborious. from imblearn.over_sampling import SMOTE.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. Optimizing data pipelines: How Kongregate uses Periscope Data. Kongregate has been using Periscope Data since 2013. A true unicorn.

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Data Drift Detection for Image Classifiers

Domino Data Lab

In such cases, methods from statistical process control and operations research that rely primarily on numerical data are hard to adopt and necessitates a new approach to monitoring models in production. A Survey on Concept Drift Adaptation” ACM Computing Survey Volume 1 , Article 1 (January 2013).