Hamid Jamshidnia @tech_hamid
Scientist and researcher passionate for science and technology at the intersection of Fluid Dynamics, Ultrasound & Optical-based Measurement Techniques & AI Reykjavik, Iceland Joined March 2017-
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Hamid Jamshidnia retweeted
"Numerical Recipes in Fortran 90"
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Hamid Jamshidnia retweeted
Statistical physics provides a powerful lens for machine learning. It explains how complex systems, like neural networks, behave collectively. Concepts like entropy, energy landscapes, and phase transitions are used to analyze learning dynamics, understand theory of deep…
Hamid Jamshidnia retweeted
One of the coolest books in probability I’ve seen in a while:
Hamid Jamshidnia retweeted
Stanford's "Machine Learning Theory" by Tengyu Ma Lecture Notes: tselilschramm.org/mltheory/ma.pdf Lecture Videos: youtube.com/playlist?list=…
Hamid Jamshidnia retweeted
A professor at the CMI decided to teach this course, only to realise that he could not handle the depth. Later he received SSB award. He switched to a book by Steve Smale. In 2019, I covered the first 60 pp of this for Dr. Manikandan (PhD HRI) & now a faculty at UofAllahabad.
A professor at the CMI decided to teach this course, only to realise that he could not handle the depth. Later he received SSB award. He switched to a book by Steve Smale. In 2019, I covered the first 60 pp of this for Dr. Manikandan (PhD HRI) & now a faculty at UofAllahabad.
Hamid Jamshidnia retweeted
Aircraft Design with Physics AI! 🚀 Rune Aero is transforming aerospace engineering with an AI-powered virtual wind tunnel, leveraging Luminary Cloud and NVIDIA technology for real-time aerodynamic feedback. #PhysicsAI #Aerospace #DigitalTwin #Engineering
Hamid Jamshidnia retweeted
1. Schrödinger Equation 2. Dirac Equation 3. Einstein Field Equations 4. Navier--Stokes Equations 5. Planck's Law of Blackbody Radiation
Hamid Jamshidnia retweeted
Differentiable Simulators and Physics-Informed Neural Networks (PINNs) integrate physical laws—expressed as differential equations—directly into deep learning models. Unlike traditional simulations, they learn from data while respecting underlying physics, enabling accurate…
Hamid Jamshidnia retweeted
An Introduction to Dynamical Systems and Chaos:
Hamid Jamshidnia retweeted
The Neural Tangent Kernel (NTK) provides a way to understand the behavior of wide neural networks during training. It represents how the network's output changes with respect to its parameters, essentially linearizing the network's dynamics. NTK has applications in machine…
Hamid Jamshidnia retweeted
The integral form of Maxwell's equations, etched in concrete on the Warsaw University Library, is a must-see for science lovers! [bityl.co/RZV6]
Hamid Jamshidnia retweeted
Jerry Cain from Stanford University explains pointers and structs in C, showing a clever way to access struct fields. This series is one of the best resources online for C programming. Source: Stanford University
Hamid Jamshidnia retweeted
"Applied Problems in Probability Theory" archive.org/details/wentze…
Hamid Jamshidnia retweeted
I now have a full @YouTube playlist of video lectures with coding demonstrations that accompanies every chapter of my book! Check it out here: youtube.com/watch?v=A1AvIj…
Hamid Jamshidnia retweeted
Create a map with search using Python
Hamid Jamshidnia retweeted
🚀 New Blog Series by @MathWorks on Physics-Informed Machine Learning (PhiML) 🔹Part 1: What is Physics-Informed Machine Learning? blogs.mathworks.com/deep-learning/… 🔹Part 2: Methods and Implementation blogs.mathworks.com/deep-learning/… 💻 Code on GitHub: github.com/matlab-deep-le…
Hamid Jamshidnia retweeted
Autoencoder neural networks to learn Koopman eigenfunctions? Here's a great one: youtube.com/watch?v=74lLr_…
Hamid Jamshidnia retweeted
My new book, Mathematics of Machine Learning, debuted as the #1 bestseller in the Mathematical Analysis category on Amazon. Here's its origin story and why I think you should add it to your library:
Hamid Jamshidnia retweeted
🚀 IT’S THE WEEKEND —TIME FOR A GIVEAWAY! 🚀 I’m giving away hard copies of 📘 Python Machine Learning by Example (4th Edition) 🔍 Book Review: clcoding.com/2025/07/book-r… Want to WIN a copy? ✅ Like 🔁 Retweet 💬 Comment "ML" 👣 Follow me 🔥 Winners announced soon — don’t…
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1 Followers 291 Following Hello. I'm Joey. Hope you can follow me and become friends. https://t.co/4JnYg50bX2
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GMAT GRE TOEFL @ToglaKabir86075
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Nasrin Attar @NasrinAttar
3K Followers 5K Following In constant learning #Hydrology #Ensemble_Weather_Forecasting #Data_science Before: Visiting @UniofAdelaide & Researcher @UniPadova Now: Post doc @UTArlington
Marco @MarcoGMazza
471 Followers 1K Following physicist. avid reader. european | science, peace, and dadjokes | research group @mazza_lab | views my own | he, him
Vivek Sharma’s Soft... @Odeslab
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Will Uspal @WUspal
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Md Ashikuzzaman @MdAshik34665256
56 Followers 132 Following Postdoctoral fellow at Johns Hopkins University. Interested in ultrasound and photoacoustic imaging, analytic optimization, deep learning.
Arnold Mathijssen @AJTM_M
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UCL Retinal Phenotypi... @UCL_Retina
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78 Followers 238 Following Adventurer in life and science. Deep fan of all aspects of deep learning and less deep varieties.
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702 Followers 167 Following Interested in Australasian coastal science and institutional research culture
MAE Center - Director... @MAE_Center
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Data Science Dojo @DataScienceDojo
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NEI @NatEyeInstitute
16K Followers 793 Following Official Twitter account of the National Eye Institute (NEI) at NIH. NEI is a U.S. federal government institute dedicated to eye health and vision research.
AllofUsResearch @AllofUsResearch
15K Followers 301 Following We want to speed up health research. Be 1 in a million & #JoinAllofUs. Visit: https://t.co/VqpRGAdYNF Privacy Policy: https://t.co/5SowCXga8E Likes ≠ Endorsement
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3K Followers 1K Following Leaders & Best in patient care, vision research and education. Part of @umich and @umichmedicine. Retweets/follows are not endorsements.
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SINTEF @SINTEF
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220 Followers 329 Following A network of university wind tunnels open to all researchers. NWTF aims to keep the UK at the forefront of experimental aerodynamics and fluid mechanics.
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Ellie Sleightholm @elsleightholm
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Smart Materials and S... @SmartMatSurf
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Hassan HosseinNia @HassanHnia
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Michael T. Thorpe @mikethorpe_geo
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