Teoretyczne Podstawy Informatyki

Introduction to Data Science (Wprowadzenie do analityki danych)

Wydział Fizyki, Astronomii i Informatyki Stosowanej,

Uniwersytet Jagielloński w Krakowie

Rok akademicki 2021/2022

Egzamin (pisemny) sesja zimowa:
                 1.02.2022, godz. 9.00-11.0, system MSTeams
    poprawkowy
               25.02.2022, godz. 9.00-11.0, system MSTeams

Lista zagadnien

Lectures & Assignments:
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Week	Lecture slides	Lab slides	Python scripts with assignments	Datasets	Tutorials
13.10.2021	Introduction Data exploration	Introduction_lab	assignment-0-python assignment-0-numpy assignment-0-numpy-matplotlib assignment-0-pandas assignment-1	kc_house_data.csv.zip info on kc_house Optional datasets: 1) https://www.mldata.io/dataset-details/school_grades/ 2) https://insights.stackoverflow.com/survey 3) https://stat.gov.pl/ 4) https://www.kaggle.com/nasa/asteroid-impacts 5)https://www.kaggle.com/vik2012kvs/walmart-dataretail-analysis 6)https://www.kaggle.com/dronio/SolarEnergy 7)https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records 8)https://www.kaggle.com/cesartrevisan/scikit-learn-and-gridsearchcv 9)https://www.kaggle.com/osmi/mental-health-in-tech-survey	HowToStartAnaconda link to GoogleColab DS_cheatsheet_numpy.pdf DS_cheatsheet_matplotlib.pdf DS_cheatsheet_jupyter_notebook.pdf DS_cheatsheet_pandas.pdf Fundamentals of Analysis Box plot
20.10.2021	Regression-Primer Regression-Advanced-I		assignment-2		S.Rashki python-machine-learning-book rashka_ch04.ipynb rashka_ch10.ipynb
27.10.2021	Regression-Advanced-II (no class, recorded lecture available in PEGAZ)		assignment-3		numpy tutorial matrix algebra tutorial
3.11.2021	Regression-Advanced-III
10.11.2021	lecture by prof. P. Bialas
17.11.2021	lecture by prof. P. Bialas
24.11.2021	lecture by prof. P. Bialas
1.12.2021	lecture by prof. P. Bialas
8.12.2021	lecture by prof. P. Bialas
15.12.2021	Classification-Primer Classification-Advanced-I		assignment-4	data:amazon_baby.csv.zip	scikit-learn: LogisticRegression
22.12.2021	Godziny rektorskie
5.01.2022	Classification-Advanced-II (on-line, zarzadzenie JM Rektora)
12.01.2022	Clustering&Retrieval-Primer Clustering&Retrieval-Advanced-I		assignment-5	data:people_wiki.cvs.zip
19.01.2022	Clustering&Retrieval-Advanced-II
26.01.2022	Clustering&Retrieval-Advanced-III

Lectures are based on the materials from Coursera:

C. Guestrin and E. Fox, "Machine Learning Specialisation"
        Foundation: link
        Regression: link
        Classification: link
        Clustering and Retrieval: link

Related interesting material from Coursera
D. Peng, J. Leek and B. Caffo, " Exploratory Data Analysis"
J. Leskovec, A. Rajaraman and J. Ullman, "Mining Massive Datasets"
B. Caffo, R. D. Peng and J. Leek, "Regression Models"

Data Science applications in physics:
B. Nachman,
"Advanced Machine Learning for Classification, Regression, and Generation in Jet Physics"
M. Stoye,
"ML applications in CMS"
ML techniques in HEP, Workshop, Berkeley Laboratory, 11 - 13 December 2018
https://indico.physics.lbl.gov/indico/event/546/

Collection of datasets
http://mlr.cs.umass.edu/ml/datasets.html
http://faculty.marshall.usc.edu/gareth-james/ISL/data.html
http://snap.stanford.edu/data/amazon/

Useful links:
https://turi.com/download/install-graphlab-create-aws-coursera.html
https://turi.com/download/academic.html
https://github.com/turi-code/SFrame

Clustering
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html

Boosting
https://turi.com/learn/userguide/supervised-learning/boosted_trees_classifier.html
https://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
-----------------
[1] https://class.coursera.org/statistics
[2] http://www.openintro.org/stat/textbook.php
[3] https://class.coursera.org/exdata-006
[4] https://class.coursera.org/mmds
[5] http://www.mmds.org/
[6] http://www.cs.cmu.edu/~awm/tutorials.html

Additional materials
http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf
http://statweb.stanford.edu/~tibs/ElemStatLearn/
http://en.wikipedia.org/wiki/Determining_the_number_of_clusters_in_a_data_set
http://www.youtube.com/watch?v=wQhVWUcXM0A

Ostatnia modyfikacja: 5 December 2021

Elzbieta Richter-Was

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