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Greedy algorithms make the best local decision at each step to efficiently approximate a global solution. They are useful when ...

Here we explore key properties of the MLE, such as consistency and data efficiency. This video was produced at the University of ...

See https://github.com/rmcelreath/stat_rethinking_2026 for course description and additional materials.

What is the difference between Numerical and Analytical methods? In this video of our Numerical Methods course, we break down ...

Lecture 1 of ME 373 at Oregon State University. Timestamps: 0:00 - Intro 3:53 - What is this course? 13:02 - Research Example ...

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=14OPT6CcsH4 Thank you for listening ❤ Check out our ...

Numerical mismatch between training and inference is an important but often overlooked issue in large language model ...

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Time: October 1, 2025 Speaker: Jiawei Zhang (UW-Madison) Abstract: It is well known that for nonconvex unconstrained ...

A comprehensive overview of the foundational concepts of neural computation, tracing the evolution from the biological neuron to ...

Marcus Noack - HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation, ...

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When almost any contest‑level math problem can be solved by a chatbot, what is the point of still learning the math and coding ...

Date : 06 Jan 2026 Abstract: The algorithmic study of market equilibria has been a cornerstone of economics and computation ...

Quantum Approximate Optimization Algorithm | Edward Farhi, Principal Scientist, Google https://q2b.qcware.com/ ...

Signup to use Aleph at: https://kotharcomputing.com/ https://www.linkedin.com/company/kothar-computing Consider supporting ...

This video introduces you to simple linear regression and how to estimate the parameters in Python. You will need the ...

This project was created with Explain Everything™ Interactive Whiteboard for iPad. 00:00 Slide 1 05:57 Slide 2.

Approximate Nearest Neighbors (ANN) is a technique used to find data points that are close to a query point without exhaustively ...