Some links that I will eventually write about, but listed here.
Tips and Tricks ORIE Stuff
GAMS
Can use multiple cores
https://support.gams.com/solver:multiple_cplex_threads
Use Excel to output and input
https://www.gams.com/latest/docs/T_GDXXRW.html
Use Different Algorithms for CPLEX using various calls
https://www.gams.com/latest/docs/S_CPLEX.html
Priority Branching
Lags and Leads with Multiple time sets
You have to link the time steps with a linking equation.
Also have to put l-1 or l+1 in the equation declaration
Optimization
https://www.mathworks.com/videos/series/mathematical-modeling-with-optimization-94592.html
AI, Machine Learning, NN, Big Data
https://towardsdatascience.com/how-to-start-with-data-science-93d3ca32d7e5
Statistic Concepts
https://www.countbayesie.com/blog/2015/2/21/variance-co-variance-and-correlation
https://www.countbayesie.com/blog/2015/2/20/random-variables-and-expectation
https://www.countbayesie.com/blog/2015/3/17/interrogating-probability-distributions
https://dzone.com/articles/a-complete-guide-to-math-and-statistics-for-data-s
Monte Carlo Simulation in R
https://www.countbayesie.com/blog/2015/3/3/6-amazing-trick-with-monte-carlo-simulations
https://towardsdatascience.com/monte-carlo-simulation-in-r-with-focus-on-financial-data-ad43e2a4aedf
Counting Processes
Markov Chains Using Linear Algebra in R
https://www.countbayesie.com/blog/2015/11/21/the-black-friday-puzzle-understanding-markov-chains
https://www.r-bloggers.com/getting-started-with-markov-chains/
Sampling Techniques in R (Rejection Sampling, A/B Testing)
https://www.countbayesie.com/blog/2015/6/20/tricky-priors-and-rejection-sampling
https://www.countbayesie.com/blog/2015/4/25/bayesian-ab-testing
Calculus and other Math as it relates to Probability (CDF ,PDF, etc)
https://www.countbayesie.com/blog/2015/7/19/fundamental-theorem-of-calculus
https://www.countbayesie.com/blog/2015/8/3/the-riemann-integral
https://www.countbayesie.com/blog/2015/8/30/picture-guide-to-probability-spaces
https://www.countbayesie.com/blog/2015/9/15/curious-tea-parties-and-the-lebesgue-integral-part-1
https://towardsdatascience.com/linear-algebra-and-probability-theory-review-for-ml-e3d2d70c5eb3
Python
https://towardsdatascience.com/python-input-output-and-import-73e875516694
Matplotlib
https://towardsdatascience.com/the-fundamentals-of-matplotlib-10b742e3616b
https://towardsdatascience.com/a-beginners-guide-to-data-visualization-using-matplotlib-22b15a0b090
Webapps
R
Basics
https://data-flair.training/blogs/r-data-types/
https://intellipaat.com/blog/tutorial/r-programming/data-structures-r-programming/
https://www.guru99.com/r-functions-programming.html
https://dzone.com/articles/a-complete-guide-to-math-and-statistics-for-data-s
Monte Carlo
https://towardsdatascience.com/monte-carlo-simulation-in-r-with-focus-on-financial-data-ad43e2a4aedf
Markov Chains
https://dataconomy.com/2018/03/an-introduction-to-markov-chains-using-r
https://www.r-bloggers.com/getting-started-with-markov-chains/
Optimizing in R
https://www.johndcook.com/blog/2019/11/07/optimization-dominoes-and-frankenstein/
https://cran.r-project.org/web/views/Optimization.html
lpsolve is the easiest to use, but worst performance.
Gurobi in R is easy and installed
Animating Graphs
http://www.programmingr.com/content/animations-r/
https://towardsdatascience.com/animating-regression-models-in-r-using-broom-and-ggplot2-da798e6638be
Dplyr
https://www.sharpsightlabs.com/blog/dplyr-intro-data-manipulation-with-r
https://datacarpentry.org/R-genomics/04-dplyr.html
http://www.milanor.net/blog/aggregation-dplyr-summarise-summarise_each/
Time Series data
https://www.neonscience.org/dc-time-series-subset-dplyr-r
Subsetting
https://www.statmethods.net/management/subset.html
Using grep to subset using specific character strings
https://awakeningdatascientist.wordpress.com/2015/07/20/r-of-the-day-grep-and-grepl/
Match Function
http://www.datasciencemadesimple.com/match-function-in-r/
Apply Family
https://nicercode.github.io/guides/repeating-things/
Reduce
https://blog.zhaw.ch/datascience/r-reduce-applys-lesser-known-brother/
Parallel Computing
https://nceas.github.io/oss-lessons/parallel-computing-in-r/parallel-computing-in-r.html
Knitr
GGPLOT
http://www.sthda.com/english/wiki/ggplot2-title-main-axis-and-legend-titles
http://www.sthda.com/english/wiki/colors-in-r
https://www.datanovia.com/en/blog/top-r-color-palettes-to-know-for-great-data-visualization/
http://girke.bioinformatics.ucr.edu/GEN242/pages/mydoc/Rgraphics.html#1_overview
https://cran.r-project.org/doc/contrib/intro-spatial-rl.pdf
http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
https://cran.r-project.org/web/packages/gridExtra/vignettes/tableGrob.html
https://magesblog.com/post/2015-04-14-plotting-tables-alsongside-charts-in-r/
https://ggplot2.tidyverse.org/reference/position_dodge.html
http://www.programmingr.com/content/animations-r/
https://towardsdatascience.com/5-amazing-tips-for-data-visualization-990fdb19c396
Grid and Annotation
http://www.sthda.com/english/wiki/print.php?id=177
Machine Learning
https://towardsdatascience.com/beginners-guide-to-the-three-types-of-machine-learning-3141730ef45d
https://towardsdatascience.com/beat-the-heat-with-machine-learning-cheat-sheet-365c25bd1c3
https://machinelearningmastery.com/types-of-learning-in-machine-learning/
https://www.quora.com/How-does-the-Google-Maps-Popular-Times-feature-work
https://machinelearningmastery.com/how-to-save-a-numpy-array-to-file-for-machine-learning/
C++ in R
https://adv-r.hadley.nz/rcpp.html#rcpp-intro
Data Viz
https://www.knowablemagazine.org/article/mind/2019/science-data-visualization
https://www.techradar.com/best/best-data-visualization-tools
Flowcharting and BI
https://towardsdatascience.com/process-mapping-with-r-3682a8e2f77e
Latex
https://tex.stackexchange.com/questions/16582/center-figure-that-is-wider-than-textwidth
3D Printing
https://hackaday.com/2019/11/14/jubilee-a-toolchanging-homage-to-3d-printer-hackers-everywhere/
Digital Threads, Digital Twins, Educational Mapping
https://kiwi.oden.utexas.edu/index.php
https://lightguidesys.com/blog/an-overview-of-digital-thread-and-digital-twin-manufacturing/
Sketch Up, Infraworks, Revit, 3D City
https://www.fabbaloo.com/blog/2017/4/4/instantly-3d-print-cities-with-sketchup-placemaker3
https://www.sciencedirect.com/science/article/pii/S0306261917300569
https://www.autodesk.com/autodesk-university/class/InfraWorks-360-Smarter-Cities-2016
https://www.autodesk.com/autodesk-university/class/Model-Building-InfraWorks-ArcGIS-2018
https://www.autodesk.com/autodesk-university/class/360-InfraWorks-360-2016
https://courses.planetizen.com/track/urban-design
https://www.directionsmag.com/pressrelease/9325
https://www.gislounge.com/automatic-acquisition-of-3d-city-models/amp/
Professor Entrepreneurship
https://www.sciencemag.org/careers/2014/03/third-way-becoming-academic-entrepreneur
https://www.entrepreneur.com/slideshow/224253
http://theprofessorisin.com/2014/09/15/the-4-terrors-of-the-academic-entrepreneur/
https://www.themuse.com/advice/from-phd-to-professor-advice-for-landing-your-first-academic-position
https://www.fastcompany.com/3033025/how-a-student-and-a-professor-became-business-partners
https://www.sciencemag.org/features/2012/09/finding-balance-professorentrepreneur
https://www.chronicle.com/article/The-Tenured-Entrepreneur/228343
