⚡️بخوانید:
شماره ۸۱۸ روزنامه شریف منتشر شد.

جانی دوباره خواهیم گرفت
جهان پیچیده ما
اجبار در پوشش! آری یا خیر؟
وقتی همه خوابیم
@sharifdaily

☝👆☝🏻👆🏻☝🏽👆🏽☝🏿👆🏿

✅ خلاصه و گزارشی از «۲۵امین گردهمایی ژرفا با موضوع سیستم‌های پیچیده» در روزنامه شریف.

🦚 https://www.meltingasphalt.com/interactive/going-critical/

🌀 حکایت «سیستم‌های پیچیده» چیست؟!

این نوشته رو به مناسبت بیست و پنجمین گردهمایی ژرفا با موضوع سیستم‌های پیچیده برای شماره ۸۱۸ روزنامه دانشگاه صنعتی شریف نوشتم. متن کامل این نوشته به همراه بعضی از منابع رو در این نشانی می‌تونید بخونید:


🔗 http://www.sitpor.org/2019/05/zharfa25-complexsystems/

~~~~~~~~~~~~~~~~
@sitpor

🥛 Lectures on “Statistical physics of glassy systems: tools and applications”

Pierfrancesco Urbani gave a series of introductory lectures to the mean field theory of glasses, as part of the doctoral school activities in Paris.

Information and lecture notes can be found here: https://courses.ipht.cnrs.fr/?q=en/node/194

🎞 The lectures can be watched on YouTube:

Lecture 1 https://www.youtube.com/watch?v=pFWfLZ2IbHQ

Lecture 2 https://www.youtube.com/watch?v=XansiyUPE-g

Lecture 3 https://www.youtube.com/watch?v=XUez6IrweJA

Lecture 4 https://www.youtube.com/watch?v=DaQbGE2kY-o

Lecture 5 https://www.youtube.com/watch?v=XSlsMBsdkKo

Lecture 6 https://www.youtube.com/watch?v=XBrXqbT56q8

🎞 Boulder School for Condensed Matter and Materials Physics

All files are in PDF format. There are links to video.

https://boulderschool.yale.edu/2017/boulder-school-2017-lecture-notes

http://www.sqlitetutorial.net/

ابزار واقعا خوبیه. بخصوص که همه جا گیر میاد و دردسر نصب و راه‌اندازی هم نداره.
این هم tutorial خیلی خوبیه.
و البته بعدا که دیتاست بزرگ‌تر داشتین باز هم sql یاد گرفتین می‌تونید استفاده کنید.

The Mobility Network of Scientists: Analyzing Temporal Correlations in Scientific Careers
“world network of movements of scientists, where the nodes represent cities and the links in- and outflows”
https://arxiv.org/abs/1905.06142

🎞 http://methods.sagepub.com/video/srmpromo/KDmf4Y/researching-complex-systems-using-participatory-systems-mapping

💰💶 We are happy to announce that the Scholarships for Events on Complex Systems (SECS) are back! They are dedicated to young researchers from Complex Systems Society, who need funds to attend complex systems related events. More information at: https://t.co/4JmaQrxJ49

I'm hooked on Episode 5: Geoffrey West on Networks, Scaling, and the Pace of Life on Castbox. Check out this episode! https://castbox.fm/vb/85039425

🧬 پروژه سرطان یکی از پروژه‌هایی هست که در مرکز شبکه‌های پیچیده و علم داده اجتماعی بهش می‌پردازیم. برای جزئیات بیشتر سری بزنید به این نشانی:

🎗 ccnsd.ir/cancer

—————————————
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

🕸 @CCNSD 🔗 ccnsd.ir
—————————————

مثل اینکه دوستان نشون دادن تنها فایده دوزبانه بودن اینه که شما یه زبان دیگه غیر از زبون مادریتون بلدین و هیچ فایده دیگه‌ای برای عملکرد مغزتون نداره!

New study w/ large, representative US sample finds no evidence that bilingualism improves executive function (advanced mental abilities that allow us to control our thoughts & behavior) https://t.co/faoYXcJFJX

👍 on this from 3 yrs ago --> https://t.co/hkuw3v1dXC

IX GEFENOL Summer School on Statistical Physics of Complex Systems is open for applications. 🎓2-13 September in Santander. https://t.co/UMsaB1W7VQ

Machine Learning for Intelligent Systems

🎞 https://www.youtube.com/watch?v=BbYV8UfMJSA

Objective:
The goal of this course is to give an introduction to the field of machine learning. The course will teach you basic skills to decide which learning algorithm to use for what problem, code up your own learning algorithm and evaluate and debug it.

Abstract:
The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. Recently, many successful machine learning applications have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to information-filtering systems that learn users' reading preferences, to autonomous vehicles that learn to drive. There have also been important advances in the theory and algorithms that form the foundation of this field. This course will provide a broad introduction to the field of machine learning.

💎 https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research

👩‍💻 https://undark.org/article/scientific-success-publishing/

🤔 https://www.quantamagazine.org/how-geometry-data-and-neighbors-predict-your-favorite-movies-20190522/

🧐 https://www.quantamagazine.org/smarter-parts-make-collective-systems-too-stubborn-20190226/