📈 Optimization - Royi

Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification

📐Linear Algebra Academic

sciencedirect.com·

Welcome to Machine Learning With Manya: The Ultimate Adventure Map!

🤖Machine Learning Blog

medium.com·

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

🤖AI Code

github.com··Hacker News

Major Types of Machine Learning

🤖Machine Learning Blog

medium.com·

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

🤖Machine Learning

aarushgupta.io··Lobsters, Hacker News

Three Waterloo graduate students earn prestigious Governor General’s Gold Medals for 2026

📐Linear Algebra

uwaterloo.ca·

How to Build Reliable AI Agents: 5 Engineering Patterns from a Production System

🤖AI

engineering.salesforce.com·

Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits

🤖Machine Learning

metafunctor.com··DEV

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

📐Linear Algebra Blog

tridao.me··Hacker News

Iliad is Hiring

🤖AI

lesswrong.com·

Max-Policy Iteration, Revisited

📐Linear Algebra Academic

arxiv.org·

Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)

📐Linear Algebra Academic

web.mit.edu··Hacker News

Less-relevant results

The Untrainable

🤖Machine Learning News Blog

saranormous.substack.com··Substack

Shoot for the Stars: Journey

🤖AI

applevis.com·

From SGD to Muon: An Incremental Tutorial (Fable-5)

📐Linear Algebra Blog

sankalp.bearblog.dev·

Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization

PyTorch Stochastic Gradient Optimization Technique

Machine learning from scratch, what to build before using scikit-learn

Better decisions at scale: How mathematical optimization delivers where intuition fails

Making Structured Reasoning Accessible with AI

Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification

Welcome to Machine Learning With Manya: The Ultimate Adventure Map!

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

Major Types of Machine Learning

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

Three Waterloo graduate students earn prestigious Governor General’s Gold Medals for 2026

How to Build Reliable AI Agents: 5 Engineering Patterns from a Production System

Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

Iliad is Hiring

Max-Policy Iteration, Revisited

Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)

The Untrainable

Shoot for the Stars: Journey

From SGD to Muon: An Incremental Tutorial (Fable-5)