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🔖 A high-bias, low-variance introduction to Machine Learning for physicists

Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G.R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab

https://arxiv.org/pdf/1803.08823

Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists. The review begins by covering fundamental concepts in ML and modern statistics such as the bias-variance tradeoff, overfitting, regularization, and generalization before moving on to more advanced topics in both supervised and unsupervised learning. Topics covered in the review include ensemble models, deep learning and neural networks, clustering and data visualization, energy-based models (including MaxEnt models and Restricted Boltzmann Machines), and variational methods. Throughout, we emphasize the many natural connections between ML and statistical physics. A notable aspect of the review is the use of Python notebooks to introduce modern ML/statistical packages to readers using physics-inspired datasets (the Ising Model and Monte-Carlo simulations of supersymmetric decays of proton-proton collisions). We conclude with an extended outlook discussing possible uses of machine learning for furthering our understanding of the physical world as well as open problems in ML where physicists maybe able to contribute. (Notebooks are available at this https URL: https://physics.bu.edu/~pankajm/MLnotebooks.html)

900 viewsedited 09:12

Complex Systems Studies

❄ https://www.nature.com/articles/s41567-018-0077-0

Nature Physics

Classical topological order in the kinetics of artificial spin ice

Experiments on the Shakti geometry of artificial spin ice show that its low-energy excitations are topologically protected, and that an emergent classical topological order influences the ergodicity and equilibration of this nanomagnetic system.

434 views19:59

Complex Systems Studies

💎 Bill Rand's new tutorial, Fundamentals of NetLogo, has officially launched! Take the new tutorial and start using it in your work!

http://netlogo.complexityexplorer.org/

350 views07:22

Complex Systems Studies

🤔 https://www.nature.com/articles/d41586-018-03925-8

Nature

How researchers are ensuring that their work has an impact

Nature - Finding purpose and meaning in the lab.

561 views07:30

Complex Systems Studies

🔸 The Key to Creating Cost-Effective Experiments at Scale - Behavioral Scientist:

http://behavioralscientist.org/the-key-to-creating-engaging-and-cost-effective-experiments-at-scale/

Behavioral Scientist

The Key to Creating Cost-Effective Experiments at Scale

How can we build large-scale, cost-effective experiments that people want to participate in?

346 viewsedited 07:46

Complex Systems Studies

💻 A Free Oxford Course on Deep Learning: Cutting Edge Lessons in Artificial Intelligence

Slides and Videos:
🔗 https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/

450 viewsedited 07:49

Complex Systems Studies

https://ifisc.uib-csic.es/en/about-ifisc/join-us/surf/surf-2018/

622 views08:05

Complex Systems Studies

Forwarded from TCNS 2018

این گروه جهت اطلاع رسانی و معرفی برنامه‌های سمپوزیوم علوم اعصاب نظری و محاسباتی ایجاد شده است. این همایش با همکاری دانشگاه فرایبورگ آلمان، در تاریخ بیست و هفتم و بیست و هشتم فروردین ماه سال 1397 در محل دانشکده مهندسی برق و کامپیوتر دانشگاه تهران، برگزار خواهد شد.
https://goo.gl/Tgm6wX

18 views07:07

Complex Systems Studies

TCNS 2018

📌 علاقمندان جهت ثبت نام در این همایش، رزومه خود را به نشانی زیر ارسال کنند:

ut.tcns2018@gmail.com

556 viewsedited 07:08

Complex Systems Studies

💭 So many great mathematicians, from Archimedes, Bernoulli, Lagrange, to Pontryagin and Lions have put their stamp on "optimization" and "optimal control" problems. Here is a great summary.

www.unige.ch/~gander/Preprints/LagrangeTalk.pdf

382 views10:59

Complex Systems Studies

✅ When mathematicians write a review on statistical physics theories it gets pretty exciting:

🔗 arxiv.org/pdf/1803.11132.pdf

457 viewsedited 11:05

Complex Systems Studies

🎞 Machine Learning Summer School 2017 Tübingen
Max Planck Institute for Intelligent Systems

33 Videos:
https://www.youtube.com/watch?v=XLHB-Aktxw0&list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9

YouTube

What is Machine Learning - Bernhard Schölkopf - MLSS 2017

This is Bernhard Schölkopf's Introduction to Machine Learning, given at the Machine Learning Summer School 2017, held at the Max Planck Institute for Intelligent Systems, in Tübingen, Germany, from 19-30 June 2017.

Slides for this talk, in pdf format, as…

608 viewsedited 10:34

Complex Systems Studies

🔸 An Introduction to Graphical Lasso
Bo Chang
Graphical Models Reading Group
May 15, 2015

Slides:
https://www.stat.ubc.ca/~bchang/gmrg/files/Bo_05152015.pdf

344 views10:58

Complex Systems Studies

Forwarded from انجمن علمی فیزیک بهشتی (SBU)

#سمینار_عمومی این هفته
Atoms in Molecular/Crystals From Being to Interacting

-۳شنبه ۲۱ فروردین؛ ساعت ۱۵:۱۵
-تالار ابن هیثم، دانشکده فیزیک

کانال انجمن علمی دانشجویی فیزیک
@sbu_physics

8 views11:14

Complex Systems Studies

🔸 https://www.nature.com/articles/d41586-018-03920-z?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf186386683=1

Nature

From meat to mind: the root of consciousness

Douwe Draaisma enjoys Michael Gazzaniga’s exploration of the biological basis of consciousness.

342 views20:17

Complex Systems Studies

🚙 https://www.nature.com/articles/d41586-018-04158-5?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf186386629=1

Nature

People must retain control of autonomous vehicles

Legislation on the testing of self-driving cars does not address liability and safety concerns, warn Ashley Nunes, Bryan Reimer and Joseph F. Coughlin.