danielemoraschi

#!/bin/bash
set -e

export CONFIG_MODULE_SIG=n
export CONFIG_MODULE_SIG_ALL=n
# For current kernel
export KERNELRELEASE=$(cat /proc/version | awk '{print $3}')

temp_dir=$(mktemp -d)
echo "Installing FacetimeHD camera for $KERNELRELEASE"

danielemoraschi

Keybase proof

I hereby claim:

• I am danielemoraschi on github.
• I am dmoraschi (https://keybase.io/dmoraschi) on keybase.
• I have a public key ASAiaR_1C0VvFMx23aMkfykoiNuEB_1INLS5RqvSB1z0AQo

To claim this, I am signing this object:

danielemoraschi

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

danielemoraschi

#!/bin/bash

### Method 1 
###
mvn deploy:deploy-file \
    -DgroupId=com.github.diegopacheco.sandbox.devops \
    -DartifactId=fpmtest \
    -Dversion=1.0.0 \
    -DgeneratePom=true \
    -Dpackaging=rpm \

danielemoraschi

Excercise files in GO