Matthew J. McCullough matthewmccullough

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

Holiday Lunch: December 14, 2017 Expensing Guidelines for Remote Hubbers

For those of you who don't regularly work out of HQ and aren't able to join this Thursday's fun, we'd love for you to lunch on on the company.

Some guidelines from our trusted Financetocats:

Amount: $25(US)

When expensing through Expensify:

The 5-minute backpack demo

Here's what I carry in a Tom Bihn Synapse 19 bag when I travel for 1-to-n days. In general, I optimize for low-weight items, with a secondary focus on reducing maintenance. You can peruse a gallery of pictures, too.

Clothing

GitHub Professional Guides

This is a series of videos produced by Hubbers. They cover several important practices in modern software development and the features on GitHub that enable professional developers. With one exception (pre-receive hooks), features are available to all users on both GitHub.com and GitHub Enterprise

Videos

Video Title	Description
Organizing for Successful Collaboration	Defining Organizations and Teams on GitHub
Continuous Integration & Continous Delivery	Define these terms, why they're used, and the tools on GitHub to support them
Finding Things	The tools that exist on GitHub that help you find what you're looking for
Getting Insight into Work	A quick walkthrough of the various analysis tools on GitHub to help manage branches, commits and works in progress

	package androidx.compose.samples.animationfactory

	import androidx.compose.animation.core.Animatable
	import androidx.compose.animation.core.infiniteRepeatable
	import androidx.compose.animation.core.tween
	import androidx.compose.foundation.Canvas
	import androidx.compose.foundation.layout.Box
	import androidx.compose.foundation.layout.aspectRatio
	import androidx.compose.foundation.layout.fillMaxSize
	import androidx.compose.foundation.layout.padding

	approve: pr review -a
	checklist: !gh issue list -l$1 \| sed "s/^/- [ ] /" > checklist.md
	clone: repo clone
	co: pr checkout
	cowments: !gh api "repos/:owner/:repo/issues/$1/comments" \| jq "map(.body)[]" \| while read c; do cowsay $c; done

	heart: api -H Accept:application/vnd.github.squirrel-girl-preview+json -XPOST repos/:owner/:repo/issues/$1/reactions --raw-field content=heart
	igrep: !gh issue list -l$1 \| grep $2
	il: issue list
	immigrant-justice: gist view eb5f40f9ec892f22064804af90065726

	# Pass the URL for an Organization into the query
	# to get a list of members in a specific Organization.
	# Example: { "url": "https://github.com/:organization" }
	query getResource($url: URI!) {
	resource(url: $url) {
	... on Organization {
	samlIdentityProvider {
	externalIdentities(first:10) {
	nodes {
	scimIdentity {

	# Requirements:
	# homebrew - http://brew.sh/
	# brew bundle - https://github.com/Homebrew/homebrew-bundle
	# cask - https://caskroom.github.io/ (installed automatically)
	# mas-cli - https://github.com/argon/mas
	cask_args appdir: '/Applications'
	tap 'caskroom/cask'
	tap 'caskroom/versions'

	brew 'bat'

	#!/usr/bin/perl
	#
	# Generate a listing of all paths ever used in the repository, along with the
	# disk space used by the path throughout the entire history. Note that sizes
	# for trees are cumulative; they include the sizes of all of the paths below
	# them, in addition to the tree storage itself. All sizes are in bytes, and
	# reflect git's delta and zlib compression.
	#
	# One caveat is that this is just the _current_ on-disk size. The on-disk size
	# of each object may change if git repacks and chooses different delta bases,

	default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam'
	default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes'
	default['sshd']['sshd_config']['PasswordAuthentication'] = 'no'