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Follow Procedure Produced Errors:
Download https://www.raspberrypi.org/downloads/raspbian/ (2018-03-13) unzip, and burn to SD card with https://etcher.io/

Select a working WIFI network.

To open a terminal you can use: CTRL + ALT + T

git clone https://github.com/google/aiyprojects-raspbian.git AIY-projects-python

sudo apt-get install python-virtualenv

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//follow these steps in order to make the raspberry pi reboot in headless mode

1. Open my_assistant.service file in an editor: 
sudo nano /lib/systemd/system/my_assistant.service

2. Copy contents of my_assistant.service in editor

3. Make your service script executable:
sudo chmod 644 /lib/systemd/system/my_assistant.service

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'use strict';

process.env.DEBUG = 'actions-on-google:*';

const request = require('request');
const Assistant = require('actions-on-google').ApiAiAssistant;

var CHANNELS = new Map([
   ["Nederland 1", 1],
   ["Nederland 2", 2],

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/**
{ 
    kind: 'storage#object', 
    resourceState: 'exists', 
    id: 'leeboonstra-videoapi/mov_bbb.mp4/1490796080783211', 
    selfLink: 'https://www.googleapis.com/storage/v1/b/leeboonstra-videoapi/o/mov_bbb.mp4', 
    name: 'mov_bbb.mp4', 
    bucket: 'leeboonstra-videoapi', 
    generation: '1490796080783211', 
    metageneration: '1', 

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Windows

Windows 10 and Windows 8

• In Search, search for and then select: System (Control Panel)
• Click the Advanced system settings link.
• Click Environment Variables.
• In the section System Variables, find the PATH environment variable and select it. Click Edit. If the PATH environment variable does not exist, click New.
• In the Edit System Variable (or New System Variable) window, specify the value of the PATH environment variable. Click OK. Close all remaining windows by clicking OK.

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//require the google-cloud npm package
//setup the API keyfile, so your local environment can
//talk to the Google Cloud Platform
const gcloud = require('google-cloud')({
  projectId: process.env.GCLOUD_PROJECT,
  keyFilename: process.env.GCLOUD_KEY_FILE
});

//We will make use of the bigquery() API
const bq = gcloud.bigquery();

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var express = require('express'),
  router = express.Router(),
  Stream = require('user-stream');

var path = require('path');
var machinelearning = require( path.resolve( __dirname, "ml.js" ) );
//var bigquery = require( path.resolve( __dirname, "bigQuery.js" ) );//added in a later step


//setup the twitter stream API, and provide your consumer and access tokens

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//require the google-cloud npm package
//setup the API keyfile, so your local environment can
//talk to the Google Cloud Platform
const gcloud = require('google-cloud')({
  projectId: process.env.GCLOUD_PROJECT,
  keyFilename: process.env.GCLOUD_KEY_FILE
});

//we will make use of the language() and translate() 
//GCP machine learning APIs

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var express = require('express'),
  router = express.Router(),
  Stream = require('user-stream');

//Setup the twitter stream API, and provide your consumer and access tokens
const stream = new Stream({
    consumer_key: process.env.CONSUMER_KEY,
    consumer_secret: process.env.CONSUMER_SECRET,
    access_token_key: process.env.ACCESS_TOKEN_KEY,
    access_token_secret: process.env.ACCESS_TOKEN_SECRET

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#standardSQL
CREATE TEMPORARY FUNCTION lab_TIME(x ARRAY<TIMESTAMP>)
  RETURNS INT64
  LANGUAGE js AS """
  var total_time = 0;
  //loop through
  for (var i = 0; i < x.length -1; i+=2) 
  { total_time += x[i+1] - x[i]; }
  return total_time/1000;
""";