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=Books= | =General Books= | ||
* Free books on data science http://www.learndatasci.com/free-data-science-books | * Free books on data science http://www.learndatasci.com/free-data-science-books | ||
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* (French) reference book: Cornuéjols, A.; Miclet, L. & Kodratoff, Y. Apprentissage Artificiel Eyrolles, 2002 | * (French) reference book: Cornuéjols, A.; Miclet, L. & Kodratoff, Y. Apprentissage Artificiel Eyrolles, 2002 | ||
* (French) [http://eric.univ-lyon2.fr/~ricco/cours/supports_data_mining.html Notes pour les cours de data mining de Ricco Rakotomalala] | * (French) [http://eric.univ-lyon2.fr/~ricco/cours/supports_data_mining.html Notes pour les cours de data mining de Ricco Rakotomalala] | ||
** [http://eric.univ-lyon2.fr/~ricco/tanagra/ Tanagra by the same author] | |||
* MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/ | * MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/ | ||
* Software | |||
** [http://www.cs.waikato.ac.nz/ml/weka/ Weka] | |||
** [http://gretl.sourceforge.net/ Gretl (econometrics)] | |||
=Data Visualization= | =Data Visualization= | ||
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** [http://hcil.umd.edu/ Human-Computer Interaction Lab] and [https://www.cattlab.umd.edu/ Center for Advanced Transportation Technology Laboratory], University of Maryland | ** [http://hcil.umd.edu/ Human-Computer Interaction Lab] and [https://www.cattlab.umd.edu/ Center for Advanced Transportation Technology Laboratory], University of Maryland | ||
** TRB [https://www.teachamerica.com/viz/viz2006.html 5th], [http://teachamerica.com/VIZ11/index.html 6th], [https://teachamerica.com/VIZ13/index.html 7th], [http://viz17.businesscatalyst.com/videos.html 8th] and [http://www.cvent.com/events/9th-international-visualization-in-transportation-symposium-a-better-view/event-summary-aa788f12e69f4c5c83936e5c800b1152.aspx 9th] International Visualization in Transportation Symposium and Workshop | ** TRB [https://www.teachamerica.com/viz/viz2006.html 5th], [http://teachamerica.com/VIZ11/index.html 6th], [https://teachamerica.com/VIZ13/index.html 7th], [http://viz17.businesscatalyst.com/videos.html 8th] and [http://www.cvent.com/events/9th-international-visualization-in-transportation-symposium-a-better-view/event-summary-aa788f12e69f4c5c83936e5c800b1152.aspx 9th] International Visualization in Transportation Symposium and Workshop | ||
** | ** Professors [http://www.professeurs.polymtl.ca/thomas.hurtut/\#dataviz Thomas Hurtut (Polytechnique)], [http://perso.telecom-paristech.fr/~elc/ Éric Lecolinet (Télécom ParisTech)] | ||
* Courses | * Courses | ||
** [https://www.graphics.stanford.edu/courses/cs448b-04-winter/ Data Visualization (CS448b)], Stanford | ** [https://www.graphics.stanford.edu/courses/cs448b-04-winter/ Data Visualization (CS448b)], Stanford | ||
Version du 23 juin 2021 à 19:00
General Books
- Free books on data science http://www.learndatasci.com/free-data-science-books
Code
- Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see Programming resources for Python and other languages)
- Gallery of Jupyter Notebooks on programming, data science, etc.
- Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/
Machine Learning
- list of machine learning books http://matpalm.com/blog/cool_machine_learning_books/
- Pattern Recognition and Machine Learning by Christopher Bishop free at https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
- Probabilistic Machine Learning for Civil Engineers, James Goulet
- Hey, T. Tansley, S. & Tolle, K. (Eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery Microsoft Research, 2009
- Site KDnuggets
- (French) reference book: Cornuéjols, A.; Miclet, L. & Kodratoff, Y. Apprentissage Artificiel Eyrolles, 2002
- (French) Notes pour les cours de data mining de Ricco Rakotomalala
- MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/
- Software
Data Visualization
- Tufte, E. R. The Visual Display of Quantitative Information Graphics Press, 1983
- Blog: Flowing data, Data Is Beautiful (Reddit)
- Articles: Wikipedia diagrams and Charts, ACM paper, The Economist
- Labs:
- Human-Computer Interaction Lab and Center for Advanced Transportation Technology Laboratory, University of Maryland
- TRB 5th, 6th, 7th, 8th and 9th International Visualization in Transportation Symposium and Workshop
- Professors Thomas Hurtut (Polytechnique), Éric Lecolinet (Télécom ParisTech)
- Courses
- Data Visualization (CS448b), Stanford
- CS117, Hanspeter Pfister, Harvard
- Videos: The Art of Data Visualization | PBS Digital Studios, Harvard i-lab | Data Visualization for Non-Programmers, Mike Bostock (D3js) - Keynote, Designing Data Visualizations with Noah Iliinsky
- Libraries
- Python: matplotlib, seaborn
- R: ggplot2
- Javascript: D3.js
Spatial Data
- Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/
- A Gentle Introduction to GIS https://docs.qgis.org/3.10/en/docs/gentle_gis_introduction/
- QGIS how-to: heatmaps, OSM layer
- SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html
- (French) books from EPFL: Systèmes d'Information Géographique Partie 1 et Partie 2
- (French) resources, including online courses in https://claroline-connect.univ-st-etienne.fr/web/app.php/resource/open/icap_wiki/224152#/
Spatial Analysis
- Applied Spatial Statistics with R, Prof. Antonio Paez
- Python Spatial Analysis Library (PySAL)
- Documentation de GeoDa
Statistics
- Carnegie Mellon University free online courses: Probability & Statistics Statistical Reasoning
- Scientific Approaches to Transportation Research http://onlinepubs.trb.org/Onlinepubs/nchrp/cd-22/start.htm
- Understanding and Communicating Multimodal Transportation Data http://web.cecs.pdx.edu/~monserec/t.data/
- (French) resources
- Cours MTH2302C: Probabilités et statistique, Denis Marcotte http://cours.polymtl.ca/geo/marcotte/mth2302c.html
- Notes et ebooks de Ricco Rakotomalala http://eric.univ-lyon2.fr/~ricco/
- Cours du master économétrie et statistique appliquée de l'Université d’Orléans https://www.univ-orleans.fr/deg/masters/ESA/CH/churlin_E.htm#_Universit%C3%A9_d%27Orl%C3%A9ans,_Master_Econom
