Remove Case Study Remove Metrics Remove Software Engineering
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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML.

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How We Improved Our Core Web Vitals (Case Study)

Smashing Magazine

How We Improved Our Core Web Vitals (Case Study). How We Improved Our Core Web Vitals (Case Study). I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. Beau Hartshorne.

Google 111
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 38
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly

Were also betting that this will be a time of software development flourishing. With the advent of generative AI, therell be significant opportunities for product managers, designers, executives, and more traditional software engineers to contribute to and build AI-powered software. How do we do so?

Systems 69
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 100
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Migrating a privacy-safe information extraction system to a Software 2.0 design

The Morning Paper

Software 2.0 , in case you missed it, is a term coined by Andrej Karpathy to describe software in which key components are implemented by neural networks. To address this, a set of counter metrics are computed for every field extractor. By examining these counters (e.g., These areas can then be targeted for improvement.

Systems 84