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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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Sequoia’s Surge reveals 15 India, SEA startups in seventh cohort

TechCrunch

These founders include the former CFO of fashion e-commerce platform Nykaa, machine learning engineers who worked on conversational AI at Meta and the first set of engineers of Uber in India. Gan uses AI to create customised videos at scale, empowering brands to build personal connections with their customers. (It

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Data engineers vs. data scientists

O'Reilly Media - Data

On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side. Finally, their results need to be given to the business in an understandable fashion.

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Turing nabs $32M more for an AI-based platform to source and manage engineers remotely

TechCrunch

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more. It starts with an AI platform to source and vet candidates.

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Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

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Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 40
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Bringing an AI Product to Market

O'Reilly Media - Ideas

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. Fault Tolerant Versus Fault Intolerant AI Problems.

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