# gst: taming uncertainty, a tutorial by NaN et Al.

<< All models are wrong, but some are useful. >>. George Box. ️

Nan Chen, Stephen Wiggins, Marios Andreou. Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification - A Tutorial for Beginners. arXiv: 2408.01823v1 [math.DS]. Aug 3, 2024. 

https://arxiv.org/abs/2408.01823

Also: NaN 'Not a Number'. In: Onda pneica. Apr 10, 2005 (quasi-stochastic poetry) https://inkpi.blogspot.com/2005/04/1694b-onda-pneica.html ;  nan(). In: Linux manual. https://www.man7.org/linux/man-pages/man3/nanf.3.html

Also: << Amico, qualunque  cosa suonerai . . . >>. Jelly Roll Morton. In: Soniche a ramulo. Jan 28, 2007 (quasi-stochastic poetry). https://inkpi.blogspot.com/2007/01/2113-soniche-ramulo.html  

Also: uncertainty, Mr. Jelly Roll Morton, jazz, in https://www.inkgmr.net/kwrds.html 

Keywords: gst, uncertainty, Jelly Roll, jazz

# acad: oops! No PhD will be necessary to build artificial intelligence algorithms

<< OVER THE past five years researchers in artificial intelligence have become the rock stars of the technology world (..) The top names can earn over $1m a year. (..) The standard route into these jobs has been a PhD in computer science from one of America’s elite universities. (..) That is changing. This month fast.ai, an education non-profit based in San Francisco, kicked off the third year of its course in deep learning. (..) The course and others like it come with a simple proposition: there is no need to spend years obtaining a PhD in order to practise deep learning. (..) Fast.ai’s course can be completed in just seven weeks. >>

No PhD, no problem. New schemes teach the masses to build AI. Oct 25,  2018.

https://www.economist.com/business/2018/10/27/new-schemes-teach-the-masses-to-build-ai

More

http://www.fast.ai/

https://flashontrack.blogspot.com/2018/06/ai-open-source-ai-projects.html

https://flashontrack.blogspot.com/search?q=linux

# ai: open source AI projects

<< The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others. >>

<< "It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.” >>

Amber Ankerholz. Free Ebook Offers Insight on 16 Open Source AI Projects. May 22, 2018.

https://www.linuxfoundation.org/blog/free-ebook-offers-insight-on-16-open-source-ai-projects/   

# e-os: a bootable (Linux, Debian) Live system on CD, DVD or USB flash drives

Klaus Knopper. Datenrettung und Forensik mit Knoppix. Open Source Forum @ CeBIT. 23 Mar. 2017

http://www.cebit.de/event/klaus-knopper-datenrettung-und-forensik-mit-knoppix/VOR/77445

<< KNOPPIX is a bootable Live system on CD, DVD or USB flash drives, consisting of a representative collection of GNU/Linux software, automatic hardware detection, and support for many graphics cards, sound cards, SCSI and USB devices and other peripherals >>

http://www.knoppix.org/

# e-softw: Linux Foundation: A $5 Billion Value

<< The rise of open source projects and foundations has been much discussed, but the code investment underpinning them has not been analyzed in much detail. Many of the Linux Foundation’s  collaborative  projects  started  with  significant  code  donations  from  companies or existing projects. Once they became a fully open and collaborative project with neutral governance, many companies and individuals engage in development. Because of that, there is no single source for cost estimates of how much it would take to develop the technology or an understanding of how much value these projects actually deliver to the industry. >>

<< As of last month [August 2015], 115,013,302 total lines of source code were present in The Linux Foundation’s collaborative projects. Using the COCOMO model, we estimated the total amount of effort required to retrace the steps of collaborative development to be 41,192.25 person-years. In other words, it would take a team of 1,356 developers 30 years to recreate the code base present in The Linux Foundation’s current collaborative projects listed above. We estimate the total economic value of this work to be over $5 billion. >>

Jeff Licquia, Amanda McPherson. A  $5  Billion  Value: Estimating the Total Development Cost of Linux Foundation’s Collaborative Projects.  A  Linux  Foundation  publication

http://www.linuxfoundation.org/publications/linux-foundation/estimating-total-development-cost-linux-foundation-collaborative-projects