How to assess uncertainties and specify probabilities -- Open Study Session --

Hello Future Data Scientists,

Let's learn how to use Data Science to assess risk. Chapter 4: How to assess uncertainties and specify probabilities of the following book is very useful.

Foundations of Risk Analysis, 2nd Edition Terje Aven (http://eu.wiley.com/WileyCDA/Section/id-302479.html?query=Terje+Aven)

( http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1119966973.html )

https://media.wiley.com/product_data/coverImage300/73/11199669/1119966973.jpg

You can also watch some lectures by Professor Terje Aven.

https://www.youtube.com/watch?v=CbnIlLXeHw0&list=PLNFAW9iarHu_kP9n34CSPRoUM8h1hBojp

Just bring your own books to study or your own projects. You also may use one of the following alternatives :)

MOOCs

CS231n: Convolutional Neural Networks for Visual Recognition (http://cs231n.stanford.edu/2016/index.html)

http://www.college-de-france.fr/site/yann-lecun/course-2015-2016.htm

http://cs229.stanford.edu/ (Machine Learning with Andrew Ng)

http://www.fast.ai/ (Deep Learning)

FREE E-BOOKS ( https://github.com/chaconnewu/free-data-science-books#machine-learning )

http://www.deeplearningbook.org/ Ian Goodfellow et al. - Intermediate

https://web.stanford.edu/~hastie/ElemStatLearn/ Trevor Hastie et al. - Intermediate

A Course in Machine Learning (http://ciml.info/) - Hal Daume - Beginner

A First Encounter with Machine Learning (https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf) - Max Welling - Beginner

Bayesian Reasoning and Machine Learning (http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/031013.pdf) - David Barber - Veteran

Gaussian Processes for Machine Learning (http://www.gaussianprocess.org/gpml/chapters/) - Carl Edward Rasmussen and Christopher K. I. Williams - Veteran

Introduction to Machine Learning (http://alex.smola.org/drafts/thebook.pdf) - Alex Smola and S.V.N. Vishwanathan - Intermediate

Probabilistic Programming & Bayesian Methods for Hackers (http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/) - Cam Davidson-Pilon (main author) - Intermediate

The LION Way: Machine Learning plus Intelligent Optimization (http://www.lionsolver.com/LIONbook/) - Robert Battiti and Mauro Brunato - Intermediate

Thinking Bayes (http://www.greenteapress.com/thinkbayes/) - Allen B. Downey - Beginner

Sklearn Basics (http://nbviewer.ipython.org/github/jakevdp/sklearn_scipy2013/tree/master/notebooks/) - Beginner

Payment? No, but...

Read this article for more info: People don't value free stuff... (http://www.businessinsider.com/people-dont-value-free-stuff-2017-6?IR=T) so in order to 'hack' our brains we should try to give something (i.e. time, effort, etc) ... :)

Who we are?

The Open Data Science School Paris is a 'co-learning community' about data science. Feel free to come to co-learn with us and to share your knowledge. You may have your own projects. [what is co-learning? think about co-working spaces... but about learning... or the evolution of a traditional 'book club']

A good example of a 'learning community' is the Advanced-Machine-Learning-Study-Group at Berlin.

https://www.meetup.com/Advanced-Machine-Learning-Study-Group/

If there is something like this in Berlin, why not in Paris? Think about it and let's make this happen!

What are Learning Circles?

"Learning Circles are lightly-facilitated study groups for learners who want to take online courses together, in-person. Learning Circles are peer supported, facilitated by non-content experts, hosted in publicly accessible spaces, designed to be taken with few prerequisites, and free for learners. You can think of Learning Circles like a book group for learning." [from: https://learningcircles.p2pu.org/en/ ]

Self-learning Science?

Check this list of autodidact scientists to convince yourself that, yes, you too can become a self-learner!

https://en.wikipedia.org/wiki/List_of_autodidacts#Scientists.2C_historians.2C_and_educators

http://www.autodidactic.com/profiles/profiles.htm

Among them: Charles Darwin (https://en.wikipedia.org/wiki/Charles_Darwin), Daniel Dennett (https://en.wikipedia.org/wiki/Daniel_Dennett), Michael Faraday (https://en.wikipedia.org/wiki/Michael_Faraday), Buckminster Fuller (https://en.wikipedia.org/wiki/Buckminster_Fuller), Benjamin Franklin (https://en.wikipedia.org/wiki/Benjamin_Franklin), Gottfried Wilhelm Leibniz (https://en.wikipedia.org/wiki/Gottfried_Wilhelm_Leibniz), Walter Pitts (https://en.wikipedia.org/wiki/Walter_Pitts) , etc, etc...

Finally, I'd like to share with you this quotation:

"Adult learning is more than alternative education, self-help, self-study, or training. Self-directed inquiry can free you from the cultural traps of today’s postmodern world. When you think for yourself, you take control of your life. Intellectual ability and critical thinking soon become substitutes for paper credentials. You'll enjoy a higher quality of life, make smarter career choices, and begin to see ways to better our society. Simply stated aggressive learning is the most practical guide to a passionately rewarding life." Charles D. Hayes (http://www.autodidactic.com/authorbio.htm) ( http://www.autodidactic.com/index.html )

Yours sincerely,

Karel M.