The Rise of the Algorithmic Medium
18.4K views | +0 today
Follow
The Rise of the Algorithmic Medium
Algorithms are the new medium between people and people, people and data, data and data. Artificial intelligence, cognitive computing, machine learning, neural networks, internet of things, smart cities, cryptocurrencies...
Curated by Pierre Levy
Your new post is loading...
Your new post is loading...
Scooped by Pierre Levy
Scoop.it!

Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers

Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers | The Rise of the Algorithmic Medium | Scoop.it
Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers By Suju Rajan Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets is a...
more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

Data, The Speed Of Light And You

Data, The Speed Of Light And You | The Rise of the Algorithmic Medium | Scoop.it
We -- humanity, that is -- created 4.4 zettabytes of data last year. This is expected to rise to 44 zettabytes by 2020. And no, I didn’t make up the word..
more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

“There is no Internet of Things. There is only the Internet of Data.”

“There is no Internet of Things. There is only the Internet of Data.” | The Rise of the Algorithmic Medium | Scoop.it
The next strategic inflexion point for software application development today is the Internet of Things (IoT); at least that’s what people say. It is hugely fashionable just now to “partner on an IoT initiative” and you will see these tech industry love-ins cropping up every week now. But do all these [...]
more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

We're witnessing the rise of the graph in big data

We're witnessing the rise of the graph in big data | The Rise of the Algorithmic Medium | Scoop.it
Graph databases and graph-processing applications have been popping up all over the place lately, and now they’re starting to go commercial. On Tuesday, popular open source project GraphLab joined the ranks of graph startups.
more...
Renato P. dos Santos's curator insight, May 20, 2013 4:23 PM
estamos testemunhando a ascensão dos grafos nas análises do Big Data
Scooped by Pierre Levy
Scoop.it!

The New Shape of Big Data

The New Shape of Big Data | The Rise of the Algorithmic Medium | Scoop.it
Pierre Levy's insight:

Topology is just one of the new methods being explored. Chris Kemp, former chief technology officer for IT at the National Aeronautics and Space Administration and now the chief executive of cloud computing company Nebula Inc., says he expects to see a renaissance in advanced mathematics and algorithms as companies increasingly realize how valuable data is and how cheaply they can store it.

more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

Privacy by the Numbers: A New Approach to Safeguarding Data: Scientific American

Privacy by the Numbers: A New Approach to Safeguarding Data: Scientific American | The Rise of the Algorithmic Medium | Scoop.it
A mathematical technique called “differential privacy” gives researchers access to vast repositories of personal data while meeting a high standard for privacy protection
Pierre Levy's insight:

How to use the data while preserving the privacy?

more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

Big Data is watching you. Du totalitarisme algorithmique et de ses conséquences | Zilsel

Big Data is watching you. Du totalitarisme algorithmique et de ses conséquences | Zilsel | The Rise of the Algorithmic Medium | Scoop.it
Pierre Levy's insight:

Je n'adhère pas aux idées de cet article, ni aux idées de Morozov, mais ce sont des symptômes intéressants de la décadence d'une certaine intelligentsia...

more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

Mastery of AI has been 'harder than expected' and 'future is uncertain,' says Microsoft's AI chief

Mastery of AI has been 'harder than expected' and 'future is uncertain,' says Microsoft's AI chief | The Rise of the Algorithmic Medium | Scoop.it
Microsoft's head of research, Eric Horvitz, highlights advances in AI and concern over its future applications.
more...
No comment yet.
Rescooped by Pierre Levy from Public Datasets - Open Data -
Scoop.it!

Quantified Self Ideology: #Personal Data becomes #BigData | #sensors #predictive

A key contemporary trend emerging in big data science is the quantified self: individuals engaged in the deliberate self-tracking of any kind of biological, ...

Via Claude Emond, luiy
more...
No comment yet.
Scooped by Pierre Levy
Scoop.it!

The Modern Data Nerd Isn't as Nerdy as You Think | Wired Enterprise | Wired.com

The Modern Data Nerd Isn't as Nerdy as You Think | Wired Enterprise | Wired.com | The Rise of the Algorithmic Medium | Scoop.it
Data scientists are fast becoming the rock stars of the 21st century. Thanks in part to Nate Silver's eerily accurate election predictions and Paul DePodesta's baseball-revolutionizing Moneyball techniques, math nerds have become celebrities.
Pierre Levy's insight:

Knowing the field is more important than knowing the math...

more...
luiy's curator insight, April 18, 2013 4:03 PM

Data scientists are fast becoming the rock stars of the 21st century. Thanks in part to Nate Silver’s eerily accurate election predictions and Paul DePodesta’s baseball-revolutionizing Moneyballtechniques, math nerds have become celebrities. It’s debatable how much their work differs from what statisticians have done for years, but it’s a growing field, and many companies are desperate to hire their own data scientists.

The irony is that many of these math nerds aren’t as math nerdy as you might expect.

 

Some of the best minds in the field lack the sort of heavy math or science training you might expect. Silver and Paul DePodesta have bachelor’s degrees in economics, but neither has a PhD. Former Facebook data scientist and Cloudera co-founder Jeff Hammerbacher — who helped define the field as it’s practiced today — only has a bachelor’s in mathematics. The top ranked competitor at Kaggle — which runs regular contest for data scientists — doesn’t have a PhD, and many of the site’s other elite competitors don’t either.

 

“In fact, I argue that often Ph.D.s in computer science in statistics spend too much time thinking about what algorithm to apply and not enough thinking about common sense issues like which set of variables (or features) are most likely to be important,” says Kaggle CEO Anthony Goldbloom.

 

Data scientist John Candido agrees. “An understanding of math is important,” he says, “but equally important is understanding the research. Understanding why you are using a particular type of math is more important than understanding the math itself.”

Scooped by Pierre Levy
Scoop.it!

Math rocks: New way to solve ‘graph Laplacians’ has big implications

Math rocks: New way to solve ‘graph Laplacians’ has big implications | The Rise of the Algorithmic Medium | Scoop.it
In the last decade, theoretical computer science has seen remarkable progress on the problem of solving graph Laplacians — the esoteric name for a calculation with hordes of familiar applications i...
Pierre Levy's insight:

One intuitive way to think about graph Laplacians is to imagine the graph as a big electrical circuit and the edges as resistors. The weights of the edges describe the resistance of the resistors; solving the Laplacian tells you how much current would flow between any two points in the graph.

more...
No comment yet.