Stat652 - Prof. Suess

Stat 652 Statistical Learning

Department of Statistics and Biostatistics

California State University, East Bay

Spring 2021


Course Description	Homework	Important Dates	Software
Syllabus	Handouts		Links
Blackboard	podcasts	Data	Online Books

Week 7:

Next Week: On Monday there is no class, next week is Finals week for this course. I will hold my usual office hours on Monday and Wednesday next week. I will be available during class time, both Monday and Wednesday, in my Zoom Office Hours for questions about the Midterm-Final, the Project or any other assignments you are working on.
Midterm-Final: The Midterm-Final may be turned in no later than the end of the day next week Sunday March 14.
On Monday this week we will complete the discuss of Rules based Decision Tree and Tuning, from last week. We will discuss Neural Networks and Clustering on Wednesday. If you are interested, in Chapter 7 of Lantz there is a discussion of SVMs and in Chapter 8 there is a discussion of Association Rules.
Presentation: images.pdf
- ANN.html
- ANN.pdf
- MLwR_v2_07.r
- MLwR_v2_07_h2o.r
- concrete.csv
- R Project: Chap07.zip
Spotlight blog: Deep Learning with MXNet
Spotlight blog: Deep Learning in R
YouTube: Neural Networks Demistified Video
Image, Translation, Speech:
- Microsoft: Cognitive Services Translator Speech API
- Google: Cloud Services TensorFlow CoLab
- Amazon: AWS Deep Learning SageMaker
- h2o: Deep Learning Deep Learning with R Tutorials
- Nvidia: NVidia's GPUs - The Engine of Deep Learning
- Baidu: Baidu Reseach
- IBM: IBM Watson
Presentation:
- SVM.html
- SVM.pdf
- MLwR_v2_07.r
- MLwR_v2_07_h2o.r
- letterdata.csv
- R Project: Chap07.zip
Website Spotlight: MNIST
Website Spotlight: UCI MLR nminst dataset
kaggle Competition: Digit Recognizer
Spotlight blog: mxnet Handwritten Digits Classification Competition
Spotlight paper: EMNIST
Website Spotlight: EMNIST Dataset
Website Spotlight: cedar
Website Spotlight: IMAGENET
Website Spotlight: Fashion NIST
Presentation:
- Clustering.html
- Clustering.pdf
- cluster_examples.R
- MLwR_v2_09.r
- snsdata.csv
Presentation: Transactional Data and Association Rules
- Association.html
- Association.pdf
- MLwRv2_08.r
- groceries.csv
- R Project: Chapter08.zip
Spotlight book: Principles of Econometrics
Spotlight book: Hands on Machine Learning

Week 6:

Homework: Homework 4 has been posted.
Midterm: The Midterm has been posted. See the Homework link. The titanic data is used. See Rebecca Barter's blog post Tidymodels: tidy machine learning in R.
Final: The Final has been posted. See the Homework link.
Presentation: images.pdf
- Classification.html
- Classification.pdf
- Classification.Rmd
- Classification2.html
- Classification2.pdf
- Classification2.Rmd
- MLwR_v2_05_update2.r
- credit.csv
- mushrooms.csv
- R Project: Chap05.zip
Books Spotlight: wikibooks
Presentation:
- Tuning.html
- Tuning.pdf
- Tuning.Rmd
- R Project: Chap11.zip This code takes a long time to run. Try this after the Chap05 code.
Presentation:
- Rules.html
- Rules.pdf
- Rules.Rmd
- mushrooms.csv
- R Project: Chap05.zip
Software Spotlight: BigML Are You Ready for Big Machine Learning?
Software Spotlight: DataRobot
Presentation: images.pdf
- Naive Bayes.html
- Naive Bayes.pdf
Presentation:
- Naive Bayes SMS spam filtering.html
- Naive Bayes SMS spam filtering.pdf
Notes: BayesNotes.pdf
- sms_spam.csv
- MLwR_v2_04.r
- R Project: Chap04.zip
- R Notebook: NB.Rmd
- What is a VCorpus? StackExchange
- tm Vignettes
- Hint: Recall from class that some people running R on Windows had a fonts problem. To solve the problem we added a line to the code giving the third DTM to the first. Since all of the steps used to create the first DTM are also done for the third DTM.

> # compare the result
> sms_dtm
> sms_dtm2
> sms_dtm3
> sms_dtm <- sms_dtm3

Homework Solutions: TidyModels Examples: All of the code below is work in progress. I need to add my comments still to my notebooks. The code below is made available as an extra set of code using the new TidyModels package.
- TidyModels
- Spotlight blog: A Gentle Introduction to tidymodels
- Infer
- Homework 1 Solution.Rmd
- NHANES_missing-values.Rmd
- NHANES_ver01.Rmd
- NHANES_ver02.Rmd
- NHANES_ver03.Rmd
- NHANES_ver04.Rmd
Further Examples: This R Project contains new example that use the new Workflow package that is part of the tidymodels collection of packages.
- Tidymodels.zip

Week 5:

Announcements:
Quiz: The Quiz folder has been made in Blackboard.
Homework: Homework 3 has been posted.
Midterm: The Midterm will be a take-home midterm given next week on Wednesday. Due Wednesday March 3.
Presentation:
- LogisticRegression.html
- Logistic.pdf
- Logistic.Rmd
- MLwR_v2_06_Logistic.r
- challenger.csv
- credit.csv
- R Project: Chap06.zip updated Logistic Regression code, compare ROCs
Presentation:
Website Spotlight: Rseek
Website Spotlight: METACRAN
Website Spotlight: RDocumentation
Website Spotlight: rdrr.io