Michael @Rambaldi_Data

AI research and engineering Joined April 2017

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Michael @Rambaldi_Data

5 years ago

youtu.be/6kxI1fcOjSY Uplifting song.

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Michael @Rambaldi_Data

6 years ago

'Tip of the iceberg': is our destruction of nature responsible for Covid-19? theguardian.com/environment/20…

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Michael @Rambaldi_Data

7 years ago

Same again this year #coopdatahack

Michael @Rambaldi_Data

8 years ago

Same again this year #coopdatahack

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Alex @seeing_clearly

7 years ago

Some much needed food has arrived! Thank you to @MicrosoftUK for kind sponsorship #coopdatahack

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Alex @seeing_clearly

7 years ago

Excellent energy in the room from 45 lovely people collaborating at The Coop Hackathon 2018 #coopdatahack @CoopDigital

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“The First Notebook War” @xieyihui reflects on the recent notebook discussions. Helpful post, because it teases out different pieces: human behaviour vs. project objectives vs. tooling, etc. yihui.name/en/2018/09/not…

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Jake VanderPlas @jakevdp

7 years ago

Facts that may or may not be obvious: - Jupyter is a nod to 3 languages: Julia, Python, and R - the "gg" in ggplot stands for "Grammar of Graphics" - Pandas comes from "panel data" - naming things is hard, but once the names are out there people rarely think about them

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David Robinson @drob

7 years ago

.@tanyacash21 digs up the first known job listing for a Data Scientist, from 2008. “No specific technical skills are required.” Times have changed!

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Michael @Rambaldi_Data

7 years ago

Not going to lie, I have been looking forward to #Eurovision for a while.

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Ólafur Waage @olafurw

7 years ago

I have an idea for a data structure, hear me out. A linked list where every node contains a hash of all the data in the nodes behind it, and every time you want to add a new node, you need about 200.000 other computers to say ok and consume the power equivalent of a small nation

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PyData Manchester @PyDataMCR

8 years ago

And they are off! The sweet sound of 20 data scientists diving into Crime data!

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Arvind Narayanan @random_walker

8 years ago

Tech buzzwords explained: AI—regression Big data—data Blockchain—database Algorithm—automated decision-making Cloud—Internet Crypto—cryptocurrency Dark web—Onion service Data science—statistics done by nonstatisticians Disruption—competition Viral—popular IoT—malware-ready device

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KDnuggets @kdnuggets

8 years ago

Should You Ever Volunteer Your #Data Skills for Free? buff.ly/2p2ZcNu

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François Chollet @fchollet

8 years ago

Whether you're a product manager, a developer, or a researcher, think through the human impact of the system you're building. Ask yourself how it helps people. And ask yourself who it could hurt. This, not generating profits, is the part of your job that matters most