Remove 2013 Remove Machine Learning Remove Testing
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Why you should care about debugging machine learning models

O'Reilly on Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Not least is the broadening realization that ML models can fail. ML security audits.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads.

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Overcoming Common Challenges in Natural Language Processing

Sisense

While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. To solve this problem, machines need to capture the semantic meaning of words. Test data then contains this sentence: Pasta is delicious.

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FINRA CIO Steve Randich pushes the public cloud forward

CIO Business Intelligence

But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. “We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.

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Protein similarity search using ProtT5-XL-UniRef50 and Amazon OpenSearch Service

AWS Big Data

ProtT5-XL-UniRef50 is a machine learning (ML) model specifically designed to understand the language of proteins by converting protein sequences into multidimensional embeddings. ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning”. Code for this solution is available in GitHub. Mikolov, T.;

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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. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.