Все публикации

0:09:12

T-Test Explained

0:03:58

AI Weekly Brief - Week 2: Llama 3.2, OpenAI Voice Mode, Mira Murati leaves OpenAI

0:00:51

AI Reading List - Item 6 #datascience #machinelearning #deeplearning #statistics #neuralnetworks

0:03:59

AI Weekly Brief - Week 2: LlamaCoder, Eureka, YouTube GenAI, Pixtral 12B

0:00:54

Covariance Matrix Explained #datascience #machinelearning #statistics #maths

0:04:27

AI Weekly Brief - Week 1: OpenAI o1-preview, DataGemma, AlphaProteo

0:03:33

Covariance Matrix - Explained

0:08:10

The Bitter Lesson (in AI)...

0:01:00

Joint, Marginal and Conditional Probability Explained #machinelearning #datascience #statistics

0:00:54

Linear Regression vs Maximum Likelihood #machinelearning #statistics #datascience

0:05:40

Marginal, Joint and Conditional Probabilities Explained

0:00:50

AI Reading List -Item 5 #deeplearning #ailearning #machinelearning #datascience

0:00:54

AI Reading List - Part 4 #deeplearning #datascience #machinelearning #artificialintelligence

0:00:52

AI Reading List - Part 3 #deeplearning #machinelearning #datascience #artificialintelligence

0:04:49

Least Squares vs Maximum Likelihood

0:01:00

AI Reading List - Part 2 #artificialintelligence #datascience #deeplearning #machinelearning

0:00:43

AI Reading List - Item 1 #machinelearning #datascience #readinglist #ai #education #deeplearning

0:03:50

AI Reading List (by Ilya Sutskever) - Part 5

0:04:27

AI Reading List (by Ilya Sutskever) - Part 4

0:04:48

AI Reading List (by Ilya Sutskever) - Part 3

0:05:02

AI Reading List (by Ilya Sutskever) - Part 2

0:04:31

AI Reading List (by Ilya Sutskever) - Part 1

0:00:43

Hierarchical Navigable Small Worlds (HNSW) Explained #machinelearning #datascience #vectordatabase

0:08:03

Vector Database Search - Hierarchical Navigable Small Worlds (HNSW) Explained