Update README.md

Author: ChrisRackauckas

README.md

@@ -11,6 +11,18 @@ and the [devdocs](http://devdocs.sciml.ai/latest/)
 by providing practical examples of the concepts. For more details, please
 consult the docs.
 
+## Results
+
+To view the SciML Tutorials, go to [tutorials.sciml.ai](https://tutorials.sciml.ai/stable/). By default, this
+will lead to the latest tagged version of the tutorials. To see the in-development version of the tutorials, go to
+[https://tutorials.sciml.ai/dev/](https://tutorials.sciml.ai/dev/).
+
+Static outputs in pdf, markdown, and html reside in [SciMLTutorialsOutput](https://github.com/SciML/SciMLTutorialsOutput).
+
+## Video Tutorial
+
+[![Video Tutorial](https://user-images.githubusercontent.com/1814174/36342812-bdfd0606-13b8-11e8-9eff-ff219de909e5.PNG)](https://youtu.be/KPEqYtEd-zY)
+
 ## Interactive Notebooks
 
 To run the tutorials interactively via Jupyter notebooks, install the package
@@ -23,54 +35,6 @@ using SciMLTutorials
 SciMLTutorials.open_notebooks()
 ```
 
-## Video Tutorial
-
-[![Video Tutorial](https://user-images.githubusercontent.com/1814174/36342812-bdfd0606-13b8-11e8-9eff-ff219de909e5.PNG)](https://youtu.be/KPEqYtEd-zY)
-
-## Table of Contents
-
-- Introduction
-  - [Introduction to DifferentialEquations.jl through ODEs](http://tutorials.sciml.ai/html/introduction/01-ode_introduction.html)
-  - [Detecting Stiffness and Choosing an ODE Algorithm](http://tutorials.sciml.ai/html/introduction/02-choosing_algs.html)
-  - [Optimizing your DiffEq Code](http://tutorials.sciml.ai/html/introduction/03-optimizing_diffeq_code.html)
-  - [Callbacks and Event Handling](http://tutorials.sciml.ai/html/introduction/04-callbacks_and_events.html)
-  - [Formatting Plots](http://tutorials.sciml.ai/html/introduction/05-formatting_plots.html)
-- Exercise Sheets
-  - [DifferentialEquations.jl Workshop Exercises](http://tutorials.sciml.ai/html/exercises/01-workshop_exercises.html)
-  - [DifferentialEquations.jl Workshop Exercise Solutions](http://tutorials.sciml.ai/html/exercises/02-workshop_solutions.html)
-- Modeling Examples
-  - [Classical Physics Models](http://tutorials.sciml.ai/html/models/01-classical_physics.html)
-  - [Conditional Dosing Example](http://tutorials.sciml.ai/html/models/02-conditional_dosing.html)
-  - [DiffEqBiological Tutorial I: Introduction](http://tutorials.sciml.ai/html/models/03-diffeqbio_I_introduction.html)
-  - [DiffEqBiological Tutorial II: Network Properties API](http://tutorials.sciml.ai/html/models/04-diffeqbio_II_networkproperties.html)
-  - [DiffEqBiological Tutorial III: Steady-States and Bifurcations](http://tutorials.sciml.ai/html/models/04b-diffeqbio_III_steadystates.html)
-  - [Tutorial on using spatial SSAs in DiffEqJump](http://tutorials.sciml.ai/html/jumps/spatial.html)
-  - [Kepler Problem Orbit](http://tutorials.sciml.ai/html/models/05-kepler_problem.html)
-  - [Spiking Neural Systems](http://tutorials.sciml.ai/html/models/08-spiking_neural_systems.html)
-- Advanced ODE Features
-  - [Feagin's Order 10, 12, and 14 Methods](http://tutorials.sciml.ai/html/ode_extras/01-feagin.html)
-  - [Finding Maxima and Minima of DiffEq Solutions](http://tutorials.sciml.ai/html/ode_extras/02-ode_minmax.html)
-- Model Inference
-  - [Bayesian Inference of Pendulum Parameters](http://tutorials.sciml.ai/html/model_inference/01-pendulum_bayesian_inference.html)
-  - [Monte Carlo Parameter Estimation from Data](http://tutorials.sciml.ai/html/model_inference/02-monte_carlo_parameter_estim.html)
-- Type Handling
-  - [Solving Equations with Julia-Defined Types](http://tutorials.sciml.ai/html/type_handling/01-number_types.html)
-  - [Numbers with Uncertainties](http://tutorials.sciml.ai/html/type_handling/02-uncertainties.html)
-  - [Unit Check Arithmetic via Unitful.jl](http://tutorials.sciml.ai/html/type_handling/03-unitful.html)
-- DiffEqUncertainty
-  - [An Intro to Expectations via DiffEqUncertainty.jl](http://tutorials.sciml.ai/html/DiffEqUncertainty/01-expectation_introduction.html)
-  - [Optimization Under Uncertainty with DiffEqUncertainty.jl](http://tutorials.sciml.ai/html/DiffEqUncertainty/02-AD_and_optimization.html)
-  - [GPU-Accelerated Data-Driven Bayesian Uncertainty Quantification with Koopman Operators](http://tutorials.sciml.ai/html/DiffEqUncertainty/03-GPU_Bayesian_Koopman.html)
-- Advanced
-  - [A 2D Cardiac Electrophysiology Model (CUDA-accelerated PDE solver)](http://tutorials.sciml.ai/html/advanced/01-beeler_reuter.html)
-  - [Solving Stiff Equations](http://tutorials.sciml.ai/html/advanced/02-advanced_ODE_solving.html)
-  - [Solving the heat equation with diffusion-implicit time-stepping](http://tutorials.sciml.ai/html/advanced/04-diffusion_implicit_heat_equation.html)
-  - [Kolmogorov Backward Equations](http://tutorials.sciml.ai/html/advanced/03-kolmogorov_equations.html)
-- Perturbation Theory
-  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Algebraic Equations](http://tutorials.sciml.ai/html/perturbation/01-perturbation_algebraic.html)
-  - [Mixed Symbolic/Numerical Methods for Perturbation Theory - Differential Equations](http://tutorials.sciml.ai/html/perturbation/02-perturbation_differential.html)
-
-
 ## Contributing
 
 First of all, make sure that your current directory is `SciMLTutorials`. All