{ "cells": [ { "cell_type": "markdown", "id": "ba521aba", "metadata": {}, "source": [ "# Machine Learning Overview\n", "\n", "- **[1]** (##) Pick three applications from the [\"Some Machine Learning Applications\"](https://nbviewer.jupyter.org/github/bertdv/BMLIP/blob/master/lessons/notebooks/Machine-Learning-Overview.ipynb#some-ml-apps)-slide and (shortly) describe for each application how (a combination of) clustering, dimensionality reduction, regression classification or reinforcement learning could accomplish the task." ] }, { "cell_type": "code", "execution_count": null, "id": "be0a4c5f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Julia 1.5.2", "language": "julia", "name": "julia-1.5" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.5.2" } }, "nbformat": 4, "nbformat_minor": 5 }