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A Day in the Life of a Data Scientist

Knowledge Hut

In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist."

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Conscientious Computing - facing into big tech challenges by Oliver Cronk

Scott Logic

The tech industry has driven incredibly rapid innovation by taking advantage of increasingly cheap and more powerful computing – but at what unintended cost? Hardware is cheap” Thanks to Moore’s law, the more recent breakneck speed of improvement in computing has led to the mantra “hardware is cheap”.

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

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How Important Is Previous Work Experience When Becoming a Sales Strategist?

U-Next

In this blog, we’re going to answer a very In-demand question about sales strategy, i.e., does previous work experience matter in becoming a Sales Strategist ? We appreciate your readership and hope you will find our information helpful in your pursuit of sales success. Introduction .

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10 DataOps Principles for Overcoming Data Engineer Burnout

DataKitchen

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . Data engineers end up fixing the same problem over and over.

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Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings

LinkedIn Engineering

To achieve this, we are continually working to modernize our architecture , and we have recently made further improvements that simplify the process while maintaining excellent performance. In this blog post, we are delighted to introduce a significant upgrade to our model's capabilities.

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Experimentation is a major focus of Data Science across Netflix

Netflix Tech

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn more about other Data Science and Engineering functions at Netflix?