.. _examples:

==============
Examples
==============

.. seealso::

   To explore the trusted and explainable methods we use under the hood explore our free `knowledge base <https://www.digilab.co.uk/posts>`_.


Tutorial Notebooks 
~~~~~~~~~~~~~~~~~~

.. grid:: 1 2 2 2
    :gutter: 4
    :padding: 2 2 0 0
    :class-container: sd-text-center



    .. grid-item-card:: Quickstart
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/00-quickstart.ipynb
        :class-card: intro-card
        :shadow: md

        Build your first UQ emulator.


    .. grid-item-card:: Advanced Quickstart
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/01-introduction.ipynb
        :class-card: intro-card
        :shadow: md

        Putting the concepts together.


    .. grid-item-card:: Gaussian Process Training
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/02-gaussian-process-campaign.ipynb
        :class-card: intro-card
        :shadow: md

        Continue learning.


    .. grid-item-card:: Functional data
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/03-functional-gp.ipynb
        :class-card: intro-card
        :shadow: md

        Have complex functional data-sets?


    .. grid-item-card:: Observational Noise
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/04-observation-noise-gp.ipynb
        :class-card: intro-card
        :shadow: md

        How to build a ML model with noisy data!


    .. grid-item-card:: Model Selection
        :link: https://nbviewer.org/github/digiLab-ai/twinLab-Demos/blob/dev/05-model-selection.ipynb
        :class-card: intro-card
        :shadow: md

        AutoML capabilities. Automatic optimisation of a machine learning model's hyperparameters

.. seealso::

   Now you've completed our tutorials, start constructing your own problems with help from our :ref:`python documentation <api>`.

   Let us know if you get stuck - we're always `happy to help <https://www.digilab.co.uk/contact>`_!

.. toctree::
   :maxdepth: 2
   :hidden:

   notebooks/00-quickstart
   notebooks/01-introduction
   notebooks/02-gaussian-process-campaign
   notebooks/03-functional-gp
   notebooks/04-observation-noise-gp
   notebooks/05-model-selection