Remove 2022 Remove Metadata Remove ML Engineer
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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Role of metadata while indexing data in vector databases Metadata plays a crucial role when loading documents into a vector data store in Amazon Bedrock. Content categorization – Metadata can provide information about the content or category of a document, such as the subject matter, domain, or topic.

Metadata 102
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Machine Learning Engineering in the Real World

ODSC - Open Data Science

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 Sequence Chat: Emmanuel Turlay – CEO, Sematic

TheSequence

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.

ML 97
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Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS

AWS Machine Learning Blog

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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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning Blog

Additionally, the surge of business stakeholders and in some cases legal and compliance reviews need capabilities to add transparency for managing access control, activity tracking, and reporting across the ML lifecycle. The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance.

ML 117
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Google experts on practical paths to data-centricity in applied AI

Snorkel AI

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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Google experts on practical paths to data-centricity in applied AI

Snorkel AI

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?