This forum is inactive. Browsing/searching possible.
Connect your moderator Slack workspace to receive post notifications:
Don't understand a part of derivation of Curse of dimensionality equation
Lectures
·
105
·
4
·
24 Oct '20
Hello!
On the last lecture about kNN classifier there was a derivation of inequality that illust…
Exam material Week 5
Lectures
·
119
·
3
·
23 Oct '20
Hi,
Is the second part of Week 5 part 1 video exam material ? (after 51:56)
I am referring to t…
Explanation of the error probability of the bayes classifier in kNN
Lectures
·
98
·
2
·
22 Oct '20
Good evening
I am sorry but I was unable to understand how to derive the expression for the loss…
Notation question
Lectures
·
70
·
3
·
22 Oct '20
Hello,
There is an element of notation in Prof. Flammarion's lecture that I don't understand. Wh…
Extended features for every ML method
Lectures
·
108
·
2
·
20 Oct '20
We saw that it was possible to use an augmented feature vector to fit the model better.
I was wond…
CV test accuracy consistently higher than train accuracy
Lectures
·
93
·
3
·
18 Oct '20
Hello,
I used 5-fold CV to train model using Least squares estimate. I tested varying degrees fr…
RuntimeWarning using Logistic Regression
Lectures
·
77
·
4
·
17 Oct '20
Hello,
I tried implementing logistic regression in the project and obtained this:
```
Runti…
Proof of hoeffding inequality
Lectures
·
72
·
2
·
17 Oct '20
 or \( L2 \) norm implicitly ignor…
binary classification using linear regression
Lectures
·
147
·
2
·
13 Oct '20
Hi,
in todays lecture it is said you can use linear regression to do a binary classification, basi…
Microphone during lecture recordings
Lectures
·
100
·
3
·
12 Oct '20
Hi,
Would it be possible for Prof. Flammarion to wear a microphone during the lecture recording…
This week's slides and video substitle
Lectures
·
98
·
3
·
6 Oct '20
Hi, it seems like this week's lectures don't have slides. And youtube auto-generated language is se…
Proving that MSE is convex
Lectures
·
100
·
2
·
1 Oct '20
**[topic closed by OP, admin leaving content here for reference and anonymized]**
Hello!
As the…
Outlier resistance VS ease of optimisation
Lectures
·
142
·
2
·
26 Sep '20
Hello.
In the first lecture, we noticed how choosing the cost function to be convex leads to the…
Exercise proposed at lecture
Lectures
·
94
·
2
·
26 Sep '20
Hello,
in the lecture of the second week was proposed an exercise about calculating the gradient o…
Constrained optimization & feature normalization
Lectures
·
116
·
2
·
26 Sep '20
Thank you so much for answering all my previous questions :)
I have the following questions fr…
SGD and (N<D)
Lectures
·
82
·
3
·
24 Sep '20
We said that (N<D) case is undetermined for linear regression problem.
But if we use SGD we may ev…
GD: gammas that guarantee convergence
Lectures
·
97
·
3
·
24 Sep '20
Can you explain further in detail how to calculate/compute the range of gammas that guarantee conve…