davidrosenberg / mlcourse

Machine learning course materials.

https://davidrosenberg.github.io/ml2018

davidrosenberg/mlcourse Issues

Add additional captioning on ROC curve
Updated 4 years ago
Illustration / Discussion of exploding & vanishing gradient
Updated 4 years ago
Clean up "equivalence" of penalty and constraint form regularization
Updated 5 years ago1
Clean up
Updated 5 years ago
More clarity on model that we have figures for in Recitation 1
Updated 5 years ago1
HW#3 Fix read_data function for python3
Closed 5 years ago1
Make SVM figures for non-geometrically motivated soft-margin SVM
Updated 5 years ago1
Make numpy broadcasting compulsory in HW#1
Updated 5 years ago
Empirical risk level sets when design matrix not full rank
Updated 6 years ago2
Undefined notation / notation bug in Lecture 1 Concept Check, Topic 2, Question 1
Updated 6 years ago3
Shouldn't use MAP terminology in Bayes risk context (Concept Check 1)
Updated 6 years ago1
Add title, author name, data(?), etc to Krishna's Contrib materials
Updated 6 years ago
Feature Slides
Closed 6 years ago4
Fix kernel concept check question 1 about min(x,y)
Updated 6 years ago1
More discussion on stopping conditions of iterative algorithms
Updated 6 years ago
Visualize and some basic analysis of explicit feature representation for 1-dim Gaussian kernel
Closed 6 years ago1
Make a note sheet or concept check connecting quadratic form with ellipsoids
Updated 6 years ago
Make slides and/or notes connecting column correlation with eigenvalues
Updated 6 years ago
Are these actually subgradients in the figure?
Closed 6 years ago1
Reproduce (and fix) Hastie et al's L1/L2 regularizations paths
Closed 6 years ago1
Update lecture 2 concept checks
Closed 6 years ago1
Review Writeup
Closed 6 years ago1
Change code in homework #1 to use square loss without the 1/2 in front
Closed 6 years ago1
Make Homework #1 Terminology more consistent with lecture
Closed 6 years ago1
New Lab-Length lecture on Generalized Additive Models
Updated 6 years ago
Check note on elastic-net
Closed 6 years ago2
More on Elastic Net Picture
Closed 6 years ago6
Define x^* in gradient descent convergence theorem, and cite source for proof
Updated 6 years ago
Possible concept check for SGD
Updated 6 years ago1
Need content on feature importance for tree-based methods
Updated 7 years ago2
LIME/Black box
Updated 7 years ago
Calibrating classifiers
Updated 7 years ago
typo should be f(x)=-1
Closed 7 years ago1
Clean up mlcourse for archiving
Closed 7 years ago8
Ideas for Course
Updated 7 years ago
More ideas to add for k-means
Updated 7 years ago
Alternate Proof of Square Sum
Updated 7 years ago4
For risk function or empirical risk, show true gradient and minibatch gradient samples
Updated 7 years ago1
Replace l1/l2 contour image with more readable ones
Closed 7 years ago
L1 Regularization 2016: Typo
Closed 7 years ago
Tie Estimation Error to Variance
Updated 7 years ago6
Directional Derivatives vs Differentiability
Closed 7 years ago1
Learning objectives for Lab #1
Closed 7 years ago4
Discuss k nearest neighbors
Updated 8 years ago
Repeat Hastie & Tibshirani's SPAM experiment
Updated 8 years ago
Show empirical risk function and true risk for 1-dim linear regression
Updated 8 years ago
Making text-based / flow chart figures
Closed 8 years ago4
Confusing notation in Lecture 4b, Slide 7
Updated 8 years ago
Lecture Slides 4b Slide 17
Closed 8 years ago1
Lecture slides 4a: Add SGD Convergence Rate
Updated 8 years ago