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    "[Table of Contents](00.00-Learning-ML.ipynb#Table-of-Contents) • [← *Chapter 1.01 - Help*](01.01-Help.ipynb) • [*Chapter 2 - Classification* →](02.00-Classification.ipynb)\n",
    "\n",
    "---\n",
    "\n",
    "# Chapter 1.02 - Getting Started\n",
    "\n",
    "Machine Learning is well supported on all major operating systems, thanks to analytical (...) such Anaconda. Anaconda is an open data science platform that pre-packages many of the required components for data science (and everything for this book!) and can be installed on Windows, OS X and Linux.\n",
    "\n",
    "In fact, this entire book is written using components from Anaconda, including Python and R and their machine learning packages, as well as the super helpful Jupyter Notebook which allows for structured and repeatable machine learning.\n",
    "\n",
    "## Installation\n",
    "\n",
    "To install Anaconda, follow the instructions for your operating system below:\n",
    "\n",
    "* Download and install Anaconda 4.3.0 64-bit from here: [Windows](https://repo.continuum.io/archive/Anaconda3-4.3.0.1-Windows-x86_64.exe), [OS X](https://repo.continuum.io/archive/Anaconda3-4.3.0-MacOSX-x86_64.pkg), [Linux](https://repo.continuum.io/archive/Anaconda3-4.3.0-Linux-x86_64.sh)\n",
    "* Update scikit-learn to version 0.18.1: `conda install -c anaconda scikit-learn=0.18.1`\n",
    "* Install Keras (and TensorFlow): `pip install keras==2.0.0`\n",
    "* Spark and launch Jupyter:\n",
    "\n",
    "```\n",
    "sudo gem update --system\n",
    "brew install apache-spark\n",
    "\n",
    "export SPARK_HOME=\"/usr/local/Cellar/apache-spark/2.1.0/libexec/\"\n",
    "export PATH=$PATH:$SPARK_HOME/bin\n",
    "export PYSPARK_SUBMIT_ARGS=\"--master local[2]\"\n",
    "export PYTHONPATH=$SPARK_HOME/python/:$PYTHONPATH\n",
    "export PYTHONPATH=$SPARK_HOME/python/lib/py4j-0.9-src.zip:$PYTHONPATH\n",
    "export PYSPARK_DRIVER_PYTHON=jupyter\n",
    "export PYSPARK_DRIVER_PYTHON_OPTS='notebook'\n",
    "\n",
    "pyspark\n",
    "```\n",
    "\n",
    "## Running Jupyter\n",
    "\n",
    "If you've downloaded a copy of this book as Jupyter notebooks, you can run Jupyter `jupyter notebook`. This will open a new browser window with the Jupyter file browser, and you can select the directory containing your notebooks from there.\n",
    "\n",
    "---\n",
    "\n",
    "[Table of Contents](00.00-Learning-ML.ipynb#Table-of-Contents) • [← *Chapter 1.01 - Help*](01.01-Help.ipynb) • [*Chapter 2 - Classification* →](02.00-Classification.ipynb)\n",
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