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:

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

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

Machine Learning 100

Machine Learning Data Scientist Data Science Metadata 100

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.

ML 97

ML Python Machine Learning Metadata 97

AWS Machine Learning Blog

AUGUST 31, 2023

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 125

ML Data Scientist Machine Learning Data Science 125

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?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

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?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

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?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52