Week 3: Classification and Regression

Week 3: Classification and Regression

Announcements

Class participation, EdSTEM, Figma, and Google Folder.
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Tuesday

Recap last week

Highlight the patterns your recognized
Hands-on in-class exercises
Revisit Lab 2 requirements

Pattern Recognition

Narrow down to course introduction, Identify Patterns.

Classification
Regression

Textbooks

All textbooks are free available online, and are optinal, not required.

Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
A Course in Machine Learning by Hal Daume III
Machine Learning by Tom Mitchell

Algorithms

Linear Discriminant Analysis (LDA)
Support Vector Machine (SVM)
Nearest Neighbors
Decision Trees
Ensemble methods

Datasets

sklearn examples
1. Supervised learning
1.1. Linear Models
[the diabetes dataset]
1.1.11. Logistic regression
Regularization path of L1- Logistic Regression, [Iris]
MNIST classification using multinomial logistic + L1, [MNIST]
1.4. Support Vector Machines
SVM-Anova: SVM with univariate feature selection, [Iris]
1.6. Nearest Neighbors
Nearest Neighbors Classification [Iris]
1.10. Decision Trees
Plot the decision surface of decision trees trained on the iris dataset [Iris]
Understanding the decision tree structure [Iris]
1.11. Ensemble methods
Plot the decision surfaces of ensembles of trees on the iris dataset [Iris]
1.11.6. Voting Classifier [Iris]
1.12. Multiclass and multioutput algorithms [Iris]

Code

numpy
matplotlib
sklearn
pandas
Machine Learning with PyTorch and Scikit-Learn
Chapter 3: A Tour of Machine Learning Classifiers Using scikit-learn
Python cheatsheet and tips for machine learning
Example Datasets from Scikit-Learn

In-class exercises:

*Explain to your classmates what is Classification
*Explain to your classmates what is Regression

Lab 03

Classification
Regression
38 Examples using Iris dataset
Iris Dataset from week 02 notes
Official site
CMU Slides
Wiki
sklearn
Programming Competitions use it as well, such as Kaggle.
Videos, such as Classification with Iris Dataset.

Thursday

Supervised learning

From Algorithms perspective
From Dataset perspective

Datasets

Popular datasets, UCI Datasets
Other institutions also use these datasets.
More datasets from CMU Statistics & Data Science
sklearn datasets examples
sklearn Datasets User Guide
7.1. Toy datasets
38 Examples using the iris dataset (classification and clustering)
14 examples using the diabetes dataset (regression)

The Diabetes dataset

regression
Efron, Bradley, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. "Least angle regression." The Annals of statistics 32, no. 2 (2004): 407-499.
Cited by 11138
Google Scholar has the Paper PDF file
lab 04

Midterm

research questions
literature review
paper format, two-page
timeline
team, student pairs

Math

textbooks
Math4ML from CS 189A at UC Berkeley

Concept

loss function
Accuracy
Train-test
Cross validation
Overfitting and underfitting