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262 results

喬峰
🎙️ The Golden Thread of Tractable Optimization
14:07
🎙️ The Golden Thread of Tractable Optimization

36 views

5 days ago

StudySession
Numerical vs Analytical Methods | Numerical Methods | StudySession

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

11:34
Numerical vs Analytical Methods | Numerical Methods | StudySession

270 views

5 days ago

Richard McElreath
Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

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

1:00:49
Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

16,201 views

6 days ago

Steve Brunton
Properties of Maximum Likelihood Estimation

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

14:00
Properties of Maximum Likelihood Estimation

4,461 views

2 days ago

The Heritage Group of Institutions
ICAA 2026 -9TH JAN 2025

Facebook https://www.facebook.com/kbtheritage/ Youtube https://www.youtube.com/c/theheritagegroupofinstitutions.

1:01:38
ICAA 2026 -9TH JAN 2025

53 views

Streamed 3 days ago

UWMadison SILO Seminar
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"

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

56:09
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"

46 views

4 days ago

The Heritage Group of Institutions
ICAA 2026

Facebook https://www.facebook.com/kbtheritage/ Youtube https://www.youtube.com/c/theheritagegroupofinstitutions.

1:25:07
ICAA 2026

86 views

Streamed 5 days ago

International Centre for Mathematical Sciences
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

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

56:27
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

18 views

6 days ago

Centre International de Rencontres Mathématiques
Alexandra Carpentier: Challenges in unsupervised learning: statistical-computational trade-offs 2/2

Unsupervised learning is a central challenge in artificial intelligence, lying at the intersection of statistics and machine learning.

1:03:46
Alexandra Carpentier: Challenges in unsupervised learning: statistical-computational trade-offs 2/2

41 views

11 hours ago

CSAChannel IISc
Towards a Theory of Equilibrium in Data Markets, by Bhaskar Ray Chaudhury

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

1:04:22
Towards a Theory of Equilibrium in Data Markets, by Bhaskar Ray Chaudhury

53 views

5 days ago

Visually Explained
Linear Regression In Python In Under 50s #python  #machinelearning

We use linear regression in Python to predict donut sales based on TV ad spend. Slope, intercept, and a quick scikit-learn demo, ...

0:59
Linear Regression In Python In Under 50s #python #machinelearning

4,339 views

5 days ago

STCS TIFR
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average-case

Instructor : Ashwin Pananjady Affiliation : Georgia Institute of Technology Abstract : Iterative algorithms are the workhorses of ...

49:11
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average-case

32 views

Streamed 6 days ago

Jonathon Riddell
An advanced method for numerically exact time evolution

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

18:16
An advanced method for numerically exact time evolution

391 views

3 days ago

Tseek
Low Rank Approximation using SVD - Example Problem - Python Code - Image Compression

Let us now see how we can implement the rank approximation of a matrix using svd in python uh we are using here numpy library ...

10:07
Low Rank Approximation using SVD - Example Problem - Python Code - Image Compression

0 views

2 days ago

1 Minute Glossary - AI ML
Approximate Nearest Neighbors Explained in 60 Seconds | What is ANN?

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

1:27
Approximate Nearest Neighbors Explained in 60 Seconds | What is ANN?

0 views

1 day ago

QC Ware
Q2B25 Silicon Valley | Edward Farhi, Principal Scientist, Google

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

19:30
Q2B25 Silicon Valley | Edward Farhi, Principal Scientist, Google

49 views

5 days ago

Dr. Dylan Spicker
Joint Probabilities in Contingency Tables

This is a video in the "Introductory Probability" series. We discuss how you can find joint probabilities in a contingency table.

7:16
Joint Probabilities in Contingency Tables

29 views

5 days ago

Soledad Galli | Data Scientist @ Train in Data
Data analysis demo (Temporal Variables) | Deployment of Machine Learning Models

In this video, we'll continue our Exploratory Data Analysis (EDA) journey, this time focusing on numerical and temporal variables.

4:22
Data analysis demo (Temporal Variables) | Deployment of Machine Learning Models

26 views

6 days ago

STCS TIFR
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average case

Instructor : Ashwin Pananjady Affiliation : Georgia Institute of Technology Abstract : Iterative algorithms are the workhorses of ...

49:42
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average case

35 views

6 days ago

VeTSS RI
L. Bocchi, “Session Types, Asynchronous Communication, and Subtyping”, VeTSS Summer School 25 (VSS25

Although asynchronous session subtyping is undecidable in general, we can rely on practical approximate algorithms. I will briefly ...

2:43:21
L. Bocchi, “Session Types, Asynchronous Communication, and Subtyping”, VeTSS Summer School 25 (VSS25

6 views

3 days ago