Data Science Resources : Différence entre versions
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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 | ||
| + | * Many online books on various data science topics on https://bookdown.org/ | ||
=Code= | =Code= | ||
* Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see [[Programming_Resources|Programming resources]] for Python and other languages) | * Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see [[Programming_Resources|Programming resources]] for Python and other languages) | ||
| − | * [https://github.com/jupyter/jupyter/wiki | + | * Python data science handbook https://jakevdp.github.io/PythonDataScienceHandbook/ |
| + | ** [https://github.com/jupyter/jupyter/wiki 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/ | * Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/ | ||
| + | |||
| + | =Data Management= | ||
| + | * [http://www.datacarpentry.org/lessons/ Data carpentry] | ||
| + | * A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424 | ||
| + | * Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche | ||
| + | |||
| + | =Statistics= | ||
| + | * Statistical Thinking for the 21st Century | ||
| + | * Learning Statistics with R https://learningstatisticswithr.com/ | ||
| + | * Answering questions with data https://crumplab.com/statistics/ | ||
| + | * Carnegie Mellon University free online courses: [https://oli.cmu.edu/courses/probability-statistics-open-free/ Probability & Statistics] [https://oli.cmu.edu/courses/statistical-reasoning-copy/ 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 | ||
=Machine Learning= | =Machine Learning= | ||
* list of machine learning books http://matpalm.com/blog/cool_machine_learning_books/ | * 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 | ** 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 | ||
| + | * Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html https://github.com/karpathy/nn-zero-to-hero (NanoGPT https://github.com/karpathy/nanoGPT) | ||
* [http://profs.polymtl.ca/jagoulet/Site/Goulet_web_page_BOOK.html Probabilistic Machine Learning for Civil Engineers, James Goulet] | * [http://profs.polymtl.ca/jagoulet/Site/Goulet_web_page_BOOK.html Probabilistic Machine Learning for Civil Engineers, James Goulet] | ||
* [https://www.microsoft.com/en-us/research/publication/fourth-paradigm-data-intensive-scientific-discovery/ Hey, T. Tansley, S. & Tolle, K. (Eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery Microsoft Research, 2009] | * [https://www.microsoft.com/en-us/research/publication/fourth-paradigm-data-intensive-scientific-discovery/ Hey, T. Tansley, S. & Tolle, K. (Eds.) The Fourth Paradigm: Data-Intensive Scientific Discovery Microsoft Research, 2009] | ||
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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/ | ||
| + | * Finnish MOOC https://buildingai.elementsofai.com/ | ||
| + | * 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 | ||
** [https://www.cs171.org/ CS117], Hanspeter Pfister, Harvard | ** [https://www.cs171.org/ CS117], Hanspeter Pfister, Harvard | ||
* Videos: [https://www.youtube.com/watch?v=AdSZJzb-aX8 The Art of Data Visualization | PBS Digital Studios], [https://www.youtube.com/watch?v=-xS7QJhVbcM Harvard i-lab | Data Visualization for Non-Programmers], [https://www.youtube.com/watch?v=aT4JvF7sglg Mike Bostock (D3js) - Keynote], [https://www.youtube.com/watch?v=R-oiKt7bUU8 Designing Data Visualizations with Noah Iliinsky] | * Videos: [https://www.youtube.com/watch?v=AdSZJzb-aX8 The Art of Data Visualization | PBS Digital Studios], [https://www.youtube.com/watch?v=-xS7QJhVbcM Harvard i-lab | Data Visualization for Non-Programmers], [https://www.youtube.com/watch?v=aT4JvF7sglg Mike Bostock (D3js) - Keynote], [https://www.youtube.com/watch?v=R-oiKt7bUU8 Designing Data Visualizations with Noah Iliinsky] | ||
| − | * Libraries | + | * Libraries / tools |
** Python: [https://matplotlib.org/ matplotlib], [https://seaborn.pydata.org/ seaborn] | ** Python: [https://matplotlib.org/ matplotlib], [https://seaborn.pydata.org/ seaborn] | ||
** R: [https://ggplot2.tidyverse.org/ ggplot2] | ** R: [https://ggplot2.tidyverse.org/ ggplot2] | ||
** Javascript: [https://d3js.org/ D3.js] | ** Javascript: [https://d3js.org/ D3.js] | ||
| + | ** Old: [http://www.gnuplot.info gnuplot] | ||
| + | |||
| + | =Time Series= | ||
| + | * Forecasting: Principles and Practice (2nd ed) https://otexts.com/fpp2/ | ||
=Spatial Data= | =Spatial Data= | ||
* Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/ | * Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/ | ||
| − | * A Gentle Introduction to GIS https://docs.qgis.org/ | + | * QGIS documentation: [https://docs.qgis.org/3.22/fr/docs/index.html français], [https://docs.qgis.org/3.22/en/docs/index.html english] |
| − | * QGIS how-to: [https://www.qgistutorials.com/en/docs/3/creating_heatmaps.html heatmaps], [https://www.giscourse.com/how-to-add-openstreetmap-basemaps-in-qgis-3-0/|add OSM layer] | + | ** A Gentle Introduction to GIS https://docs.qgis.org/latest/en/docs/gentle_gis_introduction/index.html |
| + | ** QGIS how-to: [https://www.qgistutorials.com/en/docs/3/creating_heatmaps.html heatmaps], [https://www.giscourse.com/how-to-add-openstreetmap-basemaps-in-qgis-3-0/|add OSM layer] | ||
* SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html | * SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html | ||
* (French) books from EPFL: Systèmes d'Information Géographique [https://www.researchgate.net/publication/320979981_Systemes_d%27Information_Geographique_1 Partie 1] et [https://www.researchgate.net/publication/320980079_Systemes_d%27Information_Geographique_2 Partie 2] | * (French) books from EPFL: Systèmes d'Information Géographique [https://www.researchgate.net/publication/320979981_Systemes_d%27Information_Geographique_1 Partie 1] et [https://www.researchgate.net/publication/320980079_Systemes_d%27Information_Geographique_2 Partie 2] | ||
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=Spatial Analysis= | =Spatial Analysis= | ||
| + | * [https://ipeagit.github.io/intro_access_book/en/index.en.html Introduction to urban accessibility, a practical guide with R] | ||
* [https://paezha.github.io/applied_spatial_statistics/ Applied Spatial Statistics with R], Prof. Antonio Paez | * [https://paezha.github.io/applied_spatial_statistics/ Applied Spatial Statistics with R], Prof. Antonio Paez | ||
| + | * [https://mgimond.github.io/Spatial/index.html Intro to GIS and Spatial Analysis] | ||
* [https://pysal.org Python Spatial Analysis Library (PySAL)] | * [https://pysal.org Python Spatial Analysis Library (PySAL)] | ||
* [https://geodacenter.github.io/documentation.html Documentation de GeoDa] | * [https://geodacenter.github.io/documentation.html Documentation de GeoDa] | ||
| − | + | * [https://www.spatialanalysisonline.com/ Geospatial Analysis - A comprehensive guide] | |
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Version du 31 mai 2023 à 16:12
Sommaire
General Books
- Free books on data science http://www.learndatasci.com/free-data-science-books
- Many online books on various data science topics on https://bookdown.org/
Code
- Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see Programming resources for Python and other languages)
- Python data science handbook https://jakevdp.github.io/PythonDataScienceHandbook/
- Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/
Data Management
- Data carpentry
- A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424
- Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche
Statistics
- Statistical Thinking for the 21st Century
- Learning Statistics with R https://learningstatisticswithr.com/
- Answering questions with data https://crumplab.com/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
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
- Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html https://github.com/karpathy/nn-zero-to-hero (NanoGPT https://github.com/karpathy/nanoGPT)
- 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/
- Finnish MOOC https://buildingai.elementsofai.com/
- 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 / tools
- Python: matplotlib, seaborn
- R: ggplot2
- Javascript: D3.js
- Old: gnuplot
Time Series
- Forecasting: Principles and Practice (2nd ed) https://otexts.com/fpp2/
Spatial Data
- Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/
- QGIS documentation: français, english
- A Gentle Introduction to GIS https://docs.qgis.org/latest/en/docs/gentle_gis_introduction/index.html
- 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#/
