_src/get-started.html

---
layout: page
title: Get Started
description: Get-Started Page
group: nav-right
---
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<!-- Hero  -->
<!-- <section class="full-stripe full-stripe--subpage-header clear-header">
  <div class="ml-container ml-container--horizontally-center">
    <div class="col col-12 content-group">
      <h1>Tutorials</h1>
    </div>
  </div>
</section> -->

<!-- Install SystemML -->
<section class="full-stripe full-stripe--alternate">
  <div class="ml-container ml-container--vertically-centered ml-container--reverse-order">
    <div class="col col-6 content-group content-group--more-padding">
      <img src="/assets/img/robotTutorialSm.png" alt="What is Apache SystemML?">
    </div>
    <div class="col col-6 content-group content-group--more-padding button-group">
      <h2>Install SystemML</h2>
      <h4><strong>Level:</strong> Beginner &nbsp; | &nbsp; <strong>Time:</strong> 20 minutes</h4><br>
      <p>New to Apache SystemML? Try our quick install guide that will walk you through setting up your environment and getting you up and going with SystemML.&lrm;</p>
      <a class="button button-secondary" href="tutorials.html">Tutorials</a>
      <a class="button button-primary" href="install-systemml.html">Install SystemML</a>
    </div>
  </div>
  <!-- Sample Notebooks -->
  <h2 id="sample-notebook" class="text-center">Sample Notebooks</h2>
  <div class="flex-container">
    <div class="nb-card">
        <h3>Linear Regression Algorithms Demo</h3>
        <p>This notebook demonstrates the development of various linear regression algorithms in SystemML.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/Linear_Regression_Algorithms_Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>
    <div class="nb-card">
        <h3>Deep Learning Image Classification</h3>
        <p>This notebook shows SystemML Deep Learning functionality to map images of single digit numbers to their corresponding numeric representations.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/Deep_Learning_Image_Classification.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>
    <div class="nb-card">
        <h3>SystemML PySpark Recommendation Demo</h3>
        <p>This demonstrates using SystemML for product recommendation using Poisson NonNegative Matrix Factorization (PNMF) with PNMF algorithm written using R like syntax.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>
    <div class="nb-card">
        <h3>SystemML Scala Tutorial</h3>
        <p>This tutorial includes simple example to run DML script and display output.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/tutorial1.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>
    <div class="nb-card">
        <h3>Autoencoder</h3>
        <p>This notebook demonstrates the invocation of the SystemML autoencoder script, and alternative ways of passing in/out data.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/Autoencoder.ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>
    <div class="nb-card">
        <h3>DML Tips and Tricks</h3>
        <p>This example shows helpful matrix processing techniques and other linear algebra operations using SystemML's Declarative Machine Learning (DML) scripting language.</p>
        <a class="nb-link" href="https://github.com/apache/systemml/blob/master/samples/jupyter-notebooks/DML%20Tips%20and%20Tricks%20(aka%20Fun%20With%20DML).ipynb" target="_blank"><span class="icon jupyter-logo"></span><span>View on Github</span></a>
    </div>

  </div>
</section>