Data Science Resources

• 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/

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
  • Professorts 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