The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics.

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Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process.

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

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Auto-complete Auto-classification ML Data Quality 73

AWS Machine Learning Blog

JULY 31, 2023

Although machine learning (ML) can provide valuable insights, ML experts were needed to build customer churn prediction models until the introduction of Amazon SageMaker Canvas. It also enables you to evaluate the models using advanced metrics as if you were a data scientist.

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Pickl AI

MARCH 10, 2023

Data Pre-processing is a necessary Data Science process because it helps improve the accuracy and reliability of data. Furthermore, it ensures that data is consistent while effectively increasing the readability of the data’s algorithm. This has resulted in higher ends of work for the Data Scientists.

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Snorkel AI

FEBRUARY 27, 2023

Alex Ratner, CEO and co-founder of Snorkel AI, presented a high-level introduction to data-centric AI at Snorkel’s Future of Data-Centric AI virtual conference in 2022. So this is where data comes to bite you, and this is where you have to open up and break the old APIs and paradigms of traditional machine learning a bit.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

Alex Ratner, CEO and co-founder of Snorkel AI, presented a high-level introduction to data-centric AI at Snorkel’s Future of Data-Centric AI virtual conference in 2022. So this is where data comes to bite you, and this is where you have to open up and break the old APIs and paradigms of traditional machine learning a bit.

Machine Learning 52

Machine Learning AI AI Large Language Models 52