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Peter Csermely: Modular evolution and adaptation in complex systems

ECCO/GBI seminar: Modular evolution and adaptation in complex systems

 

Prof. Peter Csermely (LINK-Group, Semmelweis University, Department of Medical Chemistry csermely.peter@med.semmelweis-univ.hu)

 

Abstract: Our multidisciplinary group (www.linkgroup.hu) uses networks as 'highways' making the transfer of concepts between various disciplines. This allows the utilization of the 'wisdom' of biological systems surviving crisis events for many billions of years. The community structure of the protein-protein interaction network of yeast cells became more condensed upon stress. However, vital inter-community bridges were maintained and novel inter-community bridges were formed (PLoS Comput. Biol. 7, e1002187). Community reorganization emerged as general and novel systems level way of cost-efficient adaptation and evolution. Inter-community, highly dynamic 'creative nodes' not only determine the systems potential for fast adaptation, but also serve as a 'life insurance' in crisis. This is highly similar of the role of creative, gifted people in society. Creative transitions are served by an increased flexibility of the complex system. In other words: flexibility-increase increases the learning potential of the system. However, an 'over-flexible' system will not have a memory, and will unable to keep changes. An increase in system rigidity increases the memory storing ability of the system. Alternating changes of flexibility and rigidity emerge as a highly efficient optimization strategy of evolutionary changes.

 

http://www.youtube.com/watch?v=nDzC83rbivI


Via Complexity Digest, Ashish Umre
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Data is big
"The future is here. It's just not evenly distributed yet." William Gibson
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Show Me Shiny

Show Me Shiny | Data is big | Scoop.it
Gallery of R Web Apps
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Nuit Blanche: Slides and Video: Paris Machine Learning Meetup #10: Dolphin Communications, Big Data, ConvNets and Quantum Computers

Nuit Blanche: Slides and Video: Paris Machine Learning Meetup #10: Dolphin Communications, Big Data, ConvNets and Quantum Computers | Data is big | Scoop.it
ukituki's insight:
Brenda McCowan, Unraveling Dolphin Communication Complexity, Past approaches and next steps (YouTube video is here) Philippe Nieuwbourg, How to transform data into dollars…  Gabriel Synnaeve, Convolutional Neural Networks 101  Guillaume Palacios,  The D-Wave “Quantum Computer” Myths and Realities   
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Taking a new job in Analytics? Ask these 5 questions first!

Taking a new job in Analytics? Ask these 5 questions first! | Data is big | Scoop.it
One of my friends, Mehul (name changed), took up a job with a MNC. The designation said - Analyst.A few days in his job and the truth dawned up on him. He realized that his role was part of IT team.
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Video: Workshop on R and Rattle - Part 4

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ŷhat | Predicting customer churn with scikit-learn

ŷhat | Predicting customer churn with scikit-learn | Data is big | Scoop.it
Customer Churn
"Churn Rate" is a business term describing the rate at which customers leave or cease paying for a product or service. It's a critical figure in many businesses, as it's often the case that acquiring new customers is a lot more costly than retaining existing ones (in some cases, 5 to 20 times more expensive).
Understanding what keeps customers engaged, therefore, is incredibly valuable, as it is a logical foundation from which to develop retention strategies ...
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Data Analysis Learning Path by @mysliderule

Data Analysis Learning Path by @mysliderule | Data is big | Scoop.it
An introduction to the field of data analysis, covering general programming practices & tools, R, data analysis, statistical techniques, machine learning, and presentation of findings. Also covers elective topics: visualization, social network analysis, and big data (Hadoop and MapReduce).
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The Evolution of Personal Assistants: From Science Fiction to Reality

The Evolution of Personal Assistants: From Science Fiction to Reality | Data is big | Scoop.it

What do HBO's Entourage, Amazon's anticipatory shipping, and E.T.A. Hoffman's Olimpia have in common? Hear our Research Director unravel the history that has led to the modern-day intelligent assistant, and the philosophical implications that emerge as our assistants continue to evolve.

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15 Sorting Algorithms in 6 Minutes - YouTube

Visualization and "audibilization" of 15 Sorting Algorithms in 6 Minutes. Sorts random shuffles of integers, with both speed and the number of items adapted ...
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A Practical Intro to Data Scienc

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Datatopia by Gratner

Datatopia by Gratner

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The Popularity of Data Analysis Software

The Popularity of Data Analysis Software | Data is big | Scoop.it
by Robert A. Muenchen Abstract: This article presents various ways of measuring the popularity or market share of software for analytics including: Alpine, Alteryx, Angoss, C / C++ / C#, BMDP, FICO...
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Interactive Graphic: How Big Is Big Data?

Interactive Graphic: How Big Is Big Data? | Data is big | Scoop.it
A selection of large data sets charted according to their dimension and sample size
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Classification with scikit-learn | DataRobot

Classification with scikit-learn | DataRobot | Data is big | Scoop.it

Via alexander knorr
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Data Mining Map

Data Mining Map | Data is big | Scoop.it
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Adventures in Analytics and Visualization - exmaples with R code

Adventures in Analytics and Visualization - exmaples with R code | Data is big | Scoop.it
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What is Business Analytics and which tools are used for analysis?

What is Business Analytics and which tools are used for analysis? | Data is big | Scoop.it
Well, the first thing you should do is understand Business Analytics spectrum. Once you have understood it, ask which part of the spectrum, the role applies to and then decide whether it suits your skills or not.
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Predicting Love And Breakups With Facebook Data

Predicting Love And Breakups With Facebook Data | Data is big | Scoop.it
Does it matter that the love of your life doesn't like your friends? If you hit the one-year anniversary mark, are you more likely to get married? Smitten..
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PIN number analysis

PIN number analysis | Data is big | Scoop.it
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Crossing the Chasm - on one page of A4

Crossing the Chasm - on one page of A4 | Data is big | Scoop.it
Among my many Business books, I thought the insights in Geoffrey Moores Book "Crossing the Chasm" were brilliant - and useful for helping grow some of the product businesses i've run.  
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Daniel Tunkelang - Search as Communication - YouTube

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How do data scientists use statistics?

How do data scientists use statistics? | Data is big | Scoop.it
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Timeseries with pandas - ipython notebook -

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Via Dr. Guido Möser
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Dr. Guido Möser's curator insight, March 18, 12:39 PM

A tutorial how to do timeseries with pandas - you can easily download thispage as a ipython notebook

 

Thank you!

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KDnuggets Exclusive: Interview with Geoffrey Moore: Crossing the Chasm and Big Data

KDnuggets Exclusive: Interview with Geoffrey Moore: Crossing the Chasm and Big Data | Data is big | Scoop.it
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77 Data Visualization Tools

77 Data Visualization Tools | Data is big | Scoop.it
77 Data Visualization Tools: Document contains aggregation of approximately 15 lists that included data viz tools; data cleansing tools; and other tools that may be helpful in exploring data viz. There is a strong bias to include free tools and exclude pay, however a few freemium tools are in list.
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How Investors See the Big Data Market and Its Investment Opportunities | SmartData Collective

How Investors See the Big Data Market and Its Investment Opportunities | SmartData Collective | Data is big | Scoop.it
The Big Data market is booming as we showed earlier in the Big Data Investment Infographic and also in 2014 this will continue. Jake Flomenberg, a big data industry veteran turned Venture Capitalist, talks about how he views the larger big data market.
ukituki's insight:

Jake works with the Accel’s big data fund, which recently opened their second $ 100 million fund, so he knows what he is talking about. He talks with Stefan Groschupf, the chief executive of Datameer, another well-funded Big Data startup with almost $ 37 million in funding.

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