Machine Learning and Cross-Validation

  Рет қаралды 35,574

Steve Brunton

Steve Brunton

Күн бұрын

Пікірлер: 16
@kadeeraziz
@kadeeraziz 4 жыл бұрын
You explain perfectly and eloquently with warmth. respects...
@seongyongpark2347
@seongyongpark2347 3 жыл бұрын
Thanks for your nice lecture, but I think you made one mistake when you explain cross-validation. You explained Monte Carlo cross-validation but you talked about k-fold cross-validation. In k-fold, we don't do random split k times but first split data into k divisions and perform one divison out cross-validation. If you can add comment about this in your video this would much better. Thanks your knit and facinating video once more.
@2007beet
@2007beet 4 жыл бұрын
Thank you so much. You're the best! I hope to finish most if not all of this series.
@Eigensteve
@Eigensteve 4 жыл бұрын
Enjoy!
@spacewavematrix3009
@spacewavematrix3009 4 жыл бұрын
Thank you very much, Professor !! I'm learning a lot from your videos though being a slow learner, would like to watch all your videos as the concepts explained are with right examples and I can Imagine how well these can be correlated to real-world scenarios.
@khaledsrrr
@khaledsrrr Жыл бұрын
keep them coming. I am loving ur teaching way
@geoffrygifari3377
@geoffrygifari3377 2 жыл бұрын
what do you think about these statements: 1. both interpolation and extrapolation are basically fill-in-the-blanks, with extrapolation the gap is in the future 2. the test data is what usually called a control variable in science. thanks for the video!
@marxregis
@marxregis 3 жыл бұрын
Professor, your videos are awesome. Could you do a video on sparsification factor lambda used in sequentially thresholded least squares algorithm?
@sina1234m
@sina1234m Жыл бұрын
Thank you so much for this good explanation!!
@sutriadikurniawan4097
@sutriadikurniawan4097 2 жыл бұрын
how can the text can be like that? what apps that you use sir?. thank you sir
@geoffrygifari3377
@geoffrygifari3377 2 жыл бұрын
is there a way to get the test data of the "highest quality"? (from your video i'm thinking if we have a continuous data across time, we set a certain percentage of those data as the test, sampled randomly throughout time)
@markghali7623
@markghali7623 4 жыл бұрын
If the physics/dynamics/system parameters could vary with respect to time or between the "Training" and "Testing" denominations set by the ML developer, is it possible for these changes to be treated as variables or inputs to better improve future predictions?
@geoffrygifari3377
@geoffrygifari3377 2 жыл бұрын
a complete newb here, are there places where you can get training data? (could be free, or a marketplace)
@TheBjjninja
@TheBjjninja 2 жыл бұрын
Why not mention the word "time series" or temporal structure or panel data.
@DiegoMachadodesigner
@DiegoMachadodesigner 2 жыл бұрын
Thank you so much!
@supernova87a
@supernova87a 4 жыл бұрын
The biggest artificial intelligence here is how you write backwards in real time on that virtual board. How in the world...?
Intro to Data Science: The Nature of Data
12:27
Steve Brunton
Рет қаралды 48 М.
Complete Guide to Cross Validation
29:49
Rob Mulla
Рет қаралды 60 М.
人是不能做到吗?#火影忍者 #家人  #佐助
00:20
火影忍者一家
Рет қаралды 20 МЛН
The Best Band 😅 #toshleh #viralshort
00:11
Toshleh
Рет қаралды 22 МЛН
The evil clown plays a prank on the angel
00:39
超人夫妇
Рет қаралды 53 МЛН
СИНИЙ ИНЕЙ УЖЕ ВЫШЕЛ!❄️
01:01
DO$HIK
Рет қаралды 3,3 МЛН
Statistical Learning: 5.1 Cross Validation
14:02
Stanford Online
Рет қаралды 11 М.
298 - What is k fold cross validation?
19:10
DigitalSreeni
Рет қаралды 10 М.
Artificial Intelligence
6:33
Steve Brunton
Рет қаралды 23 М.
154 - Understanding the training and validation loss curves
27:47
DigitalSreeni
Рет қаралды 111 М.
Unsupervised Learning:  k-means Clustering
17:56
Nathan Kutz
Рет қаралды 4 М.
Cross Validation : Data Science Concepts
10:12
ritvikmath
Рет қаралды 40 М.
Types of Machine Learning 1
6:50
Steve Brunton
Рет қаралды 78 М.
Machine Learning Fundamentals: Cross Validation
6:05
StatQuest with Josh Starmer
Рет қаралды 1,1 МЛН
人是不能做到吗?#火影忍者 #家人  #佐助
00:20
火影忍者一家
Рет қаралды 20 МЛН