1.2.7 gradient descent for linear regression by andrew ng
Published 7 years ago • 3.8K plays • Length 10:21Download video MP4
Download video MP3
Similar videos
-
1:18:17
stanford cs229: machine learning - linear regression and gradient descent | lecture 2 (autumn 2018)
-
10:03
gradientdescent.m gradient descent implementation - machine learning
-
0:26
i can't stop reading these machine learning books!
-
0:36
pytorch or tensorflow? which should you learn!
-
16:30
all machine learning algorithms explained in 17 min
-
11:51:22
harvard cs50’s artificial intelligence with python – full university course
-
15:08
multiple linear regression - explained with two simple examples
-
0:49
why minibatch gradient descent in transformers?
-
0:48
andrew ng's secret to mastering machine learning - part 1 #shorts
-
1:43:16
lecture 6: linear regression and gradient descent optimization – machine learning for engineers
-
31:16
justforfunc #38: linear regression with gradient descent (ml4g #2)
-
10:21
lecture 2.7 - gradient descent for linear regression -[machine learning by andrew ng]
-
0:48
andrew ng, founder of deeplearning.ai and co-founder of coursera, pictures a better world
-
0:52
gradient descent machine learning
-
0:35
loss function vs cost function
-
44:40
linear regression for machine learning | gradient descent algorithm | supervised learning | lesson 4
-
47:52
andrew ng: "non-linear hypotheses, pt. 1"
-
53:57
multiple linear regression using gradient descent | project 2
-
9:58
gradient descent for neural networks by prof. andrew ng