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The Rise of the Algorithmic Medium
Algorithms are the new medium between people and people, people and data, data and data.
Curated by Pierre Levy
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#Bayesian Methods for Hackers | #datascience

#Bayesian Methods for Hackers | #datascience | The Rise of the Algorithmic Medium | Scoop.it
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.

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luiy's curator insight, October 14, 2013 8:35 AM

Bayesian Methods for Hackers is designed as a introduction to Bayesian inference from a computational/understanding-first, and mathematics-second, point of view. Of course as an introductory book, we can only leave it at that: an introductory book. For the mathematically trained, they may cure the curiosity this text generates with other texts designed with mathematical analysis in mind. For the enthusiast with less mathematical-background, or one who is not interested in the mathematics but simply the practice of Bayesian methods, this text should be sufficient and entertaining.

 

The choice of PyMC as the probabilistic programming language is two-fold. As of this writing, there is currently no central resource for examples and explanations in the PyMC universe. The official documentation assumes prior knowledge of Bayesian inference and probabilistic programming. We hope this book encourages users at every level to look at PyMC. Secondly, with recent core developments and popularity of the scientific stack in Python, PyMC is likely to become a core component soon enough.

PyMC does have dependencies to run, namely NumPy and (optionally) SciPy. To not limit the user, the examples in this book will rely only on PyMC, NumPy, SciPy and Matplotlib only.

Leonardo Auslender's curator insight, October 15, 2013 4:40 AM

Not at this moment.

 

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An Introduction to Bayesian Networks with Jayes | Codetrails

An Introduction to Bayesian Networks with Jayes | Codetrails | The Rise of the Algorithmic Medium | Scoop.it
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BayesiaLab 5.0: Analytics, Data Mining, Modeling & Simulation

BayesiaLab 5.0: Analytics, Data Mining, Modeling & Simulation | The Rise of the Algorithmic Medium | Scoop.it
The leading software for knowledge management and analytics with Bayesian networks.
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luiy's curator insight, October 5, 2013 7:43 AM

BayesiaLab is a powerful desktop application (Windows/Mac/Unix) for knowledge discovery, data mining, analytics, predictive modeling and simulation - all based on the paradigm of Bayesian networks. Bayesian networks have become a very powerful tool for deep understanding of very complex, high-dimensional problem domains, ranging from bioinformatics to marketing science.

BayesiaLab is the world’s only comprehensive software package for learning, editing and analyzing Bayesian networks. It provides perhaps the easiest way to practically apply artificial intelligence tools, thus transforming and, more importantly, massively accelerating research workflows.

Fàtima Galan's curator insight, October 7, 2013 3:53 AM

"BayesiaLab is a powerful desktop application (Windows/Mac/Unix) for knowledge discovery, data mining, analytics, predictive modeling and simulation - all based on the paradigm of Bayesian networks. Bayesian networks have become a very powerful tool for deep understanding of very complex, high-dimensional problem domains, ranging from bioinformatics to marketing science."

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Mathematical Ideas for Marketers

Mathematical Ideas for Marketers | The Rise of the Algorithmic Medium | Scoop.it
Math and marketing make a serendipitous pair; who knew?
Pierre Levy's insight:

Rather than just purely geek out over pointless things, I have been casting my mind over the ways that mathematical ideas can help us out as marketers; either by making us better at our jobs, or by helping us understand more advanced or abstract concepts. Obviously a post like this can only scratch the surface, so I've designed it to link out to a bunch of resources and further reading. In approximate ascending order of difficulty and prerequisites, here are some of my favourite mathematical ideas for marketers:

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