Fri.Dec 23, 2022

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Data News — Week 22.51

Christophe Blefari

A gift from me to you ( credits ) Hey you, if you just subscribed yesterday to the Data News I wish you a warm welcome ❤️‍🔥 The Data News is your Friday weekly data curation in which I select for you the most interesting—according to me—data articles of the last week. I hope you'll enjoy it ✨ Christmas is coming, so whether you celebrate it or not, I wish you a great end of the year and good time with family and/or friends.

Data 100
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Top KDnuggets Post of 2022: Is Data Science a Dying Career?

KDnuggets

Also: The Complete Collection of Data Science Cheat Sheets • 15 Python Coding Interview Questions You Must Know For Data Science • Free Python for Data Science Course • The High Paying Side Hustles for Data Scientists • Vanishing Gradient Problem, Explained.

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Jobprofil des Data Engineers

Data Science Blog: Data Engineering

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Jahrhunderts? Mag sein, denn der Job hat seinen ganz speziellen Reiz, auch auf Grund seiner Schnittstellenfunktion zwischen Technik und Fachexpertise.

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The Importance of Permutation in Neural Network Predictions

KDnuggets

Permutation plays a significant role in making neural networks work as expected and showing whether they provide valid results. Explore how it affects neural network predictions now.

IT 108
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Our Top 5 Articles on Data Teams in 2022

Monte Carlo

Today, data teams are mainly organized by the data processing stage. Data engineers pipe in data that is curated by analytical engineers, and then used by data analysts and data scientists to glean insights. Those positions will remain as critical as ever, but as organizations continue to push their data teams to create competitive advantage, emerging roles will become increasingly popular.

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State of AI Report 2022: Be Prepared for Next Year

KDnuggets

Free learning material to prepare you for the world of AI in 2023.

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ELT Process: Key Components, Benefits, and Tools to Build ELT Pipelines

AltexSoft

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges.

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