ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. We should start by considering the broad elements that should constitute any ML solution, as indicated in the following diagram: Figure 1.2:

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The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. In this comprehensive guide, we’ll explore everything you need to know about machine learning platforms, including: Components that make up an ML platform.

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TheSequence

JULY 12, 2023

We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. In May 2022, I started Sematic to bring my experience in ML infrastructure to the industry in an open-source manner.

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AWS Machine Learning Blog

JANUARY 13, 2023

This problem was solved after the AWS team launched SageMaker as a supported service in Service Quotas in June 2022. Today, data scientists at TR can launch an ML project by creating an independent workspace and adding required team members to collaborate. TR worked closely with the SageMaker service team on this issue.

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AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. Fotinos Kyriakides is an ML Engineer with AWS Professional Services. Cologne achieved an incredible ball recovery time of 13.4

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The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. Building end-to-end machine learning pipelines lets ML engineers build once, rerun, and reuse many times.

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Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So does that mean feature selection is no longer necessary?

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