Все публикации

0:19:23

HOW TO INITIALIZE K MEANS – LEC 473

0:11:37

K MEANS GEOMETRIC INTUITION CENTROIDS – LEC 471

0:15:10

METRICS FOR CLUSTERING – LEC 470

0:15:42

APPLICATIONS OF CLUSTERING – LEC 469

0:04:25

UNSUPERVISED LEARNING– LEC 468

0:12:32

CLUSTERING – LEC 467

0:13:26

AB TESTING – LEC 465

0:09:23

VC DIMENSION LEC 464

0:08:36

RETRAINING MODELS PERIODICALLY – LEC 460

0:20:03

RANDOM SAMPLING CONSENSUS – LEC 459

0:05:00

CODE SAMPLE – LEC 458

0:18:19

ISOTONIC REGRESSION OR CALIBRATION – LEC 457

0:11:59

PLATT’S CALIBRATION SCALING – LEC 456

0:19:39

CALIBRATION PLOTS – LEC 455

0:12:51

CALIBRATION OF MODEL– LEC 454

0:09:31

KAGGLE WINNER SOLUTIONS– LEC 453

0:02:54

DOMAIN SPECIFIC FEATURIZATIONS – LEC 451

0:19:36

FEATURE ORTHOGONALITY – LEC 450

0:10:23

INTERACTION VARIABLE LEC447

0:04:44

IITians prefer non core jobs

0:12:14

FEATURE BINNING LEC# 446

0:03:23

GOOGLE Vs BING

0:03:30

BARD

0:19:13

ChatGPT