AWS Machine Learning Blog

MAY 3, 2023

In this post, we share how Vericast optimized feature engineering using SageMaker Processing. This updated configuration is a resources delta configuration that is set based on the scaling type. Workflows would fail if the client data volume increased, or the cost would be unjustifiable if the data volume decreased in production.

AWS 71

AWS Machine Learning Machine Learning ML 71

Pickl AI

APRIL 6, 2023

Data Engineering is one of the most productive job roles today because it imbibes both the skills required for software engineering and programming and advanced analytics needed by Data Scientists. Strong skills in working with Azure cloud-based environment with delta lake implementation. Knowledge in using Azure Data Factory Volume.

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

The MLOps Blog

MARCH 15, 2023

Although free tools are available, paid tools are generally preferred for production or large-scale operations. Customer support allows the users to utilize the tool efficiently and help with any configuration or runtime errors that might crop up during development or worse, during production. No collaboration capability.

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Data Pipeline ETL SQL Data Quality 59

The MLOps Blog

JUNE 27, 2023

Collaboration and version control : Support collaboration among data and ML teams, allowing them to share code, models, and experiments. This allows you to leverage your preferred ML tools and access a wide range of resources, enhancing productivity and enabling the use of cutting-edge techniques. Check out the Metaflow Docs.

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Machine Learning Machine Learning ML ML 134

Data Science 101

JANUARY 19, 2021

You can recreate yourself and share your voice. And she also attended college at both the University of Nebraska and the University of Wisconsin, and I shared that because I know there are at least a few people in the audience who will think more highly of our guests because of her affiliation with those two schools. Great Advice.

Data Science 98

Data Science 98

ODSC - Open Data Science

JUNE 6, 2023

While real-time machine learning presents many opportunities, few teams successfully serve production-grade machine learning models in real-time, and most struggle to deliver the feature freshness needed for low-latency inference. He previously worked as a product engineer in infrastructure automation.

Machine Learning 90

Machine Learning Machine Learning Clustering Data Science 90

phData

MAY 1, 2023

F_POINT_OF_SALES Has rows of sales transactions within the stadium at the product level. Each row has an order number, keys to identify the stand and product, and some pre-aggregated values such as the unit cost, unit price, and quantity. D_STADIUM_PRODUCT Includes the product type, product line, and unit price.

Database 52

Database Data Modeling Data Models Analytics 52

Snorkel AI

OCTOBER 17, 2023

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. Where do you get significant delta ? You were able to share what you did with the community. I think data science skills have to be mixed with data skills and with domain-expert or product management skills.

Algorithm 64

Algorithm Data Science AI AI 64

Snorkel AI

OCTOBER 17, 2023

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. Where do you get significant delta ? You were able to share what you did with the community. I think data science skills have to be mixed with data skills and with domain-expert or product management skills.

Algorithm 59

Algorithm Data Science AI AI 59

Tableau

OCTOBER 28, 2021

We develop powerful, end-to-end analytics products and services for people to use, empowering everyone, everywhere to be successful with data. That is a huge delta between what leaders want and their organizations currently have. When everyone is united by a shared purpose to lead with data, they experience great outcomes together.

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Tableau Analytics Analytics Data Analysis 98

Tableau

OCTOBER 28, 2021

We develop powerful, end-to-end analytics products and services for people to use, empowering everyone, everywhere to be successful with data. That is a huge delta between what leaders want and their organizations currently have. When everyone is united by a shared purpose to lead with data, they experience great outcomes together.

Tableau 98

Tableau Analytics Analytics Data Analysis 98

Data Science Blog

JULY 23, 2023

Each team becomes responsible for its Data Products , and a self-serve data infrastructure is established. In the context of a Data Mesh, a Data Product refers to a valuable dataset or data service that is managed and owned by a specific domain-oriented team within an organization. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246