{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Materials Knowledge System Workshop - 01/13/2014 -- 01/14/2013\n", " \n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What is MKS?\n", " \n", " - MKS is just a regression technique, but a convenient starting point for improving our knowledge of materials informatics.\n", " \n", " - Workshop should / could have been called Materials Informatics Workshop." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Why have a workshop?\n", "\n", " - Andrew and I attended a \"hands on\" MKS workshop at GT last year and enjoyed it.\n", " \n", " - Attending other \"hands on\" computing tutorials (such as Scipy) has been very useful for me, more so than just attending the talks.\n", " \n", " - We have had this style of workshop before in the CTCMS, solder design workshops, OOF workshops. Maybe we want to have more.\n", " \n", " - Different style of workshop (less talks more tutorials).\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What do we want to achieve?\n", "\n", " - Improve our computational skills and practices (software engineering).\n", " \n", " - Become better versed in all of\n", " \n", " * big data\n", " * wide data\n", " * data wrangling\n", " * machine learning\n", " * statistics in general\n", " * classification\n", " * regression\n", " * dimensionality reduction\n", " * clustering\n", " * spatial statistics\n", " * data workflow\n", " * data management\n", " \n", " - Fantasy: implement materials informatics codes and examples in existing or new open-source frameworks (such as Scikit-learn)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Schedule\n", "\n", "https://github.com/wd15/pymks/wiki/Workshop-Schedule#monday-011314" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Lightning Talks\n", "\n", "https://github.com/wd15/pymks/wiki/Workshop-Schedule#lightning-talks\n", "\n", " - Any more?\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using your own laptop for the Python tutorial\n", "\n", " - See https://github.com/wd15/pymks\n", " \n", "Setup your Python environment\n", " \n", " - See https://github.com/wd15/pymks/blob/master/INSTALLATION.md\n", " " ] } ], "metadata": {} } ] }