simplymathematics

cd
rm -f flash_chromebook_rom.sh
curl -O https://johnlewis.ie/flash_chromebook_rom.sh
sudo -E bash flash_chromebook_rom.sh

simplymathematics

From develop branch of lime-sdk:

sudo apt install gawk subversion
git clone https://github.com/libremesh/lime-sdk  
cd lime-sdk  
./cooker -d <target>  
./cooker -f   
./cooker -b <target>  
./cooker -c <target> --flavor=<flavor>  
dd if=/path/to/img of=/dev/sdX status=progress

simplymathematics

Apache

sudo apt-get install apache2
systemctl start apache2
systemctl start apache2

CouchDB

echo "deb https://apache.bintray.com/couchdb-deb xenial main" \ | sudo tee -a /etc/apt/sources.list

simplymathematics

I use [Plex](plex.tv) to manage and stream all of the movies, tv shows, and music I consume. Many people use Netflix, but I have 12 TB of files that are **definitely not pirated**. Since I have such a massive amount of data, it is hard to find something new to watch.  

Plex recently introduced a recommendation engine. I imagine it works by looking at the SQL database it uses to store the data. Since the software auto-magically collects metadata from IMBD/TVDB/MusicBrainz and does sophisticated file analysis (detects bitrate, for example), it already has a ton of information about the kinds of show each user likes to watch. I know about their architecture because their source code is [here](https://github.com/plexinc), which itself is a fork of a firmware hack from the original Xbox.  

The likely use a bayesian classifier as it that model works well with the data model they use. Other possibilities include nearest neighbor classifiers that use a variety of genre/director/plot tags, random forest classifiers,

simplymathematics

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import re, sys, json

default_stream = \
"""
"header": "Hello!"
"somearray": ["apple", "banana", "citrus", "dog"]
"footer": "That's it!"

simplymathematics

import mysql.connector as mc
import pandas as pd
import unittest
from sklearn import datasets as ds


'''
* Objective
The Iris class below manages a database version of the Iris dataset available in the sklearn package.
Build out the Iris class to be able to make it intelligent enough to handle

simplymathematics

sudo systemctl stop process-stream
sudo modprobe bcm2835-v4l2
sudo apt-get install vlc
cvlc v4l2:///dev/video0 --v4l2-width 1920 --v4l2-height 1080 --v4l2-chroma h26│···
4 --sout '#standard{access=http,mux=ts,dst=0.0.0.0:12345}'

simplymathematics

# assume ubuntu server  
# Install Guest Additons
https://linuxize.com/post/how-to-install-virtualbox-guest-additions-in-ubuntu/
???? sudo adduser $USER vboxsf


sudo apt-get install git curl
sudo apt-get update
bash -c "$(curl -fsSL https://get.dockstarter.com)"
cd ~

simplymathematics

#!/bin/sh
# Copy the contents of this file to the clipboard, then get a terminal open on your device and enter:  
#   $ cat > n.sh  
#  [Ctrl+V] or Right Click, Paste. Then [Ctrl+D].
# forked from: https://gist.github.com/dagelf/ab2bad26ce96fa8d79b0834cd8cab549
# original by: https://gist.github.com/radu-gheorghe/4087711

SLP=1 # display / sleep interval
DEVICE=$1
IS_GOOD=0

simplymathematics

---
title: "R Notebook"
output: html_notebook
---


```{r}
library(forecast)
library(curl)
library(rjson)