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Pete Sheridan

In Data Science

Never Have I Ever…

For some of us, “Never have I ever..” has suddenly become “Well I never thought I would... but now I always will” In the last few months, I have purchased a range of items on-line that I would have preferred to buy in a real shop where I can compare real items whilst talking to real people. I needed some chairs…
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In Artificial Intelligence

Open AI’s Hide-and-Seek

In one of their more recent releases, Emergent Tool Use from Multi-Agent Interaction, Open AI's team observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in a new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which Open AI's team did not know their environment…
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In Artificial Intelligence

Deepmind’s AlphaGo: The Computer Program That Beat the Best Go Player in History

Go, a board game that originated in China over 3,000 years ago, is considered one of the most difficult board games as it requires multiple layers of strategic thinking. How complex? Well, there are more possible configurations on the board than there are atoms in the universe. It's naturally challenging for artificial intelligence because of its complexity. Despite decades of…
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In Privacy

Big Data: How Safe Do You Feel?

Hey, Google, use every discernible iota of my personal information to build the foundation of a Chinese-style, authoritarian, digital dystopia, because I'm too lazy to learn basic, self-managed organizational skills.

5trokerac3, Hacker News
Somewhere online, just about every detail about you is stored. It's almost impossible to avoid. At the same time we have very little transparency, and there's enormous uncertainty over whether we should trust these entity's to keep our data safe. More companies than ever before are being breached, and it seems very little is being done about it. When something...
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In Data Science

Data Science: Simplified. A Great Introduction.

Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals etc. to create a valuable entity that drives profitable activity; so too must data be broken down, analyzed for it to have value.

Clive Humbly, UK Mathematician, and architect of Tesco’s Clubcard

So – you’re interested in learning more about Data Science. Fantastic. This post isn’t long, because I can’t do better than some of the content that’s already out there. Without further ado, head on over to one of my favourite channels Becoming Human and read their first article in a great series, titled Data Science Simplified Part 1: Principles and Process.

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