Lucas Fernandez Seivane quevedin

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

Maprcli Usage Examples

Basic ------------------ maprcli is a command line tool (CLI) used to view and edit MapR system settings.The start of the documention on maprcli can be found here:

This document provides some examples of maprcli usage.

maprcli has a large number of options organized into subcommands. By typing maprcli without any options you will get a usage summary showing all the subcommands. Use that to remind yourself of the subcommands and options.

How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

Using Selenium and Python to screenshot a javascript-heavy page

As websites become more JavaScript heavy, it's harder to automate things like screenshotting for archival purposes. I've seen examples and suggestions to use PhantomJS for visual testing/archiving of websites, but have run into issues such as the non-rendering of webfonts. I've never tried out Selenium until today...and while I'm not thinking about performance implications yet, Selenium seems far more accurate than PhantomJS...which makes sense since it actually opens a real browser. And it's not too hard to script to do complex interactions: here's an [example of how to log in to Twitter, write a tweet, upload an image, and send a tweet via Selenium and DOM element selection](https://gist.github.com/dannguyen/8a6fa49253c1d6a0eb92

	# Install Java 1.8 in CentOS/RHEL 6.X
	sudo yum remove -y java-1.6.0-openjdk
	wget --no-cookies \
	--no-check-certificate \
	--header "Cookie: oraclelicense=accept-securebackup-cookie" \
	"http://download.oracle.com/otn-pub/java/jdk/8-b132/jdk-8-linux-x64.rpm" \
	-O jdk-8-linux-x64.rpm
	sudo rpm -Uvh jdk-8-linux-x64.rpm
	sudo alternatives --install /usr/bin/java java /usr/java/jdk1.8.0/jre/bin/java 20000
	sudo alternatives --install /usr/bin/jar jar /usr/java/jdk1.8.0/bin/jar 20000

	echo "Grow Root FS"
	rootdev=`findmnt --target / -o SOURCE -n`
	rootdrivename=`lsblk -no pkname $rootdev`
	rootdrive="/dev/"$rootdrivename
	majorminor=`lsblk $rootdev -o MAJ:MIN \| tail -1`
	part_number=${majorminor#*:}
	yum install -y cloud-utils-growpart.noarch
	growpart $rootdrive $part_number -u on
	xfs_growfs $rootdev

	Babel==1.3
	Jinja2==2.7.3
	Mako==1.0.0
	MarkupSafe==0.23
	Pillow==2.5.1
	http://download.gna.org/pychart/PyChart-1.39.tar.gz#egg=PyChart
	PyYAML==3.11
	Werkzeug==0.9.6
	argparse==1.2.1
	decorator==3.4.0

	library(shiny)
	library(datasets)
	Logged = FALSE;
	PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
	# Define server logic required to summarize and view the selected dataset
	shinyServer(function(input, output) {
	source("www/Login.R", local = TRUE)

	observe({
	if (USER$Logged == TRUE) {

	# Nothing to see here
	shinyServer(function(input, output) {
	})