🍦 Master in Physics of Complex Systems. The registration and enrolment period has began. You can register using the form at the website:
http://cep.uib.eu/en/Alumnat/Admissio_Matricula/Procediments/
Further information about the program and our fellowships can be found at
https://t.co/OM3LwFP2N9
https://t.co/JzO4YGhr5p
http://cep.uib.eu/en/Alumnat/Admissio_Matricula/Procediments/
Further information about the program and our fellowships can be found at
https://t.co/OM3LwFP2N9
https://t.co/JzO4YGhr5p
cep.uib.eu
Admission and enrolment - Pre-registration and registration - Registration and enrolment - Student body - Centre for Postgraduate…
Procedures. Centre for Postgraduate Studies. Admission and enrolment
🌐 The #online Master of Computer Science (MCS) degree program from Arizona State University provides high-quality computer science instruction combined with real-world experience through applied projects. You’ll gain a deep understanding of cutting-edge topics like AI, cybersecurity, and big data.
Application deadline is July 20. Guarantee your spot in the program. Applications are evaluated in just 2-to-4 weeks.
https://www.coursera.org/degrees/master-of-computer-science-asu?utm_medium=email&utm_source=marketing&utm_campaign=49vhoFYKEeiWLetO06Kdhw
Application deadline is July 20. Guarantee your spot in the program. Applications are evaluated in just 2-to-4 weeks.
https://www.coursera.org/degrees/master-of-computer-science-asu?utm_medium=email&utm_source=marketing&utm_campaign=49vhoFYKEeiWLetO06Kdhw
Coursera
Online Computer Science & Engineering Degrees | Coursera
Computer Science degree programs on Coursera feature hands-on learning, peer-to-peer support, and the same professors that teach degree courses on campus. Earn your computer science degree or engineering degree online from top computer science schools, like…
🎞 Systems Biology course 2018
http://www.weizmann.ac.il/mcb/UriAlon/download/systems-biology-course-2018
http://www.weizmann.ac.il/mcb/UriAlon/download/systems-biology-course-2018
🌐 Many of the most popular works are referenced more times in the online encyclopaedia than they are in the scientific literature.
https://www.nature.com/articles/d41586-018-05161-6?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf189829348=1
https://www.nature.com/articles/d41586-018-05161-6?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf189829348=1
Nature
Wikipedia’s top-cited scholarly articles — revealed
Gene collections and astronomy studies dominate the list of the most-cited publications with DOIs on the popular online encyclopaedia.
💻 Machine Learning Course
Advanced quantitative techniques to analyze data where humans fall short.
https://brilliant.org/courses/machine-learning/
About this course
Machine learning swoops in where humans fail — such as when there are three hundred variables to keep track of and thousands of elements to process. This course develops the mathematical basis needed to truly understand how problems of classification and estimation work.
By the end of this course, you’ll develop the techniques needed to analyze data and apply these techniques to real-world problems.
Advanced quantitative techniques to analyze data where humans fall short.
https://brilliant.org/courses/machine-learning/
About this course
Machine learning swoops in where humans fail — such as when there are three hundred variables to keep track of and thousands of elements to process. This course develops the mathematical basis needed to truly understand how problems of classification and estimation work.
By the end of this course, you’ll develop the techniques needed to analyze data and apply these techniques to real-world problems.
💡 Artificial Neural Networks Course
A quick dive into a cutting-edge computational method for learning.
https://brilliant.org/courses/artificial-neural-networks/
About this course
This course dives into the fundamentals of artificial neural networks, from the math to the basic models to applications and more complicated models. You’ll answer questions such as how a computer can distinguish between pictures of dogs and cats and learn to play great chess.
Using some inspiration from the human brain, linear algebra, and a bit of calculus, by the end of this course, you’ll gain an intuition for why these models work - not just a bunch of formulas.
A quick dive into a cutting-edge computational method for learning.
https://brilliant.org/courses/artificial-neural-networks/
About this course
This course dives into the fundamentals of artificial neural networks, from the math to the basic models to applications and more complicated models. You’ll answer questions such as how a computer can distinguish between pictures of dogs and cats and learn to play great chess.
Using some inspiration from the human brain, linear algebra, and a bit of calculus, by the end of this course, you’ll gain an intuition for why these models work - not just a bunch of formulas.
🔹 "Dynamical systems, attractors, and neural circuits" - a review of how dynamical systems theory is applied in neuroscience by Paul Miller
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930057/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930057/
PubMed Central (PMC)
Dynamical systems, attractors, and neural circuits
Biology is the study of dynamical systems. Yet most of us working in biology have limited pedagogical training in the theory of dynamical systems, an unfortunate historical fact that can be remedied for future generations of life scientists. In my particular…
#سمینارهای_هفتگی گروه سیستمهای پیچیده و علم شبکه دانشگاه شهید بهشتی
🔹شنبه، ۵ خرداد، ساعت ۱۵:۱۰- کلاس ۴، طبقه سوم دانشکده فیزیک، دانشگاه شهید بهشتی
@carimi
🔹شنبه، ۵ خرداد، ساعت ۱۵:۱۰- کلاس ۴، طبقه سوم دانشکده فیزیک، دانشگاه شهید بهشتی
@carimi
🔹How a Pioneer of Machine Learning Became One of Its Sharpest Critics
Judea Pearl helped artificial intelligence gain a strong grasp on probability, but laments that it still can't compute cause and effect.
https://www.theatlantic.com/amp/article/560675/
Judea Pearl helped artificial intelligence gain a strong grasp on probability, but laments that it still can't compute cause and effect.
https://www.theatlantic.com/amp/article/560675/
Apply now for the 2018 JSMF Postdoctoral Fellowship in Understanding Dynamic & Multi-scale Systems. 2-3 yrs & freedom to choose where to pursue training. Deadline is June 15. https://t.co/5qTC0zaAJk
دومین سمپوزیوم تازه های نقشه برداری مغز ایران (ISBM2018)
http://nbml.ir/ISBM2018
http://nbml.ir/ISBM2018
🌐 "The atom is the icon of the 20th century. The atom whirls alone. It is the metaphor for individuality. But the atom is the past. The symbol for the next century is the net."
Kevin Kelly
Kevin Kelly
Applications are now open for our awesome new international winter school on complex networks. Check out the 2018 Complex Networks Winter Workshop here https://t.co/Xc6lVcF5kJ https://t.co/YxF7gLTilq