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Using human learning for machine learning

Tom Hale HaleTom

Using human learning for machine learning
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Verifying that +tomhale is my blockchain ID.
HaleTom / bash.bashrc
Created August 12, 2016 02:40
bash.bashrc from Linux Mint 17.2
# System-wide .bashrc file for interactive bash(1) shells.
# To enable the settings / commands in this file for login shells as well,
# this file has to be sourced in /etc/profile.
# If not running interactively, don't do anything
[ -z "$PS1" ] && return
# don't put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
# Print the name of the git repository's working tree's root directory
# Search for 'Tom Hale' in
# Or, shorter:
# (root=$(git rev-parse --git-dir)/ && cd ${root%%/.git/*} && git rev-parse && pwd)
# but this doesn't cover external $GIT_DIRs which are named other than .git
function git_root {
local root first_commit
# git displays its own error if not in a repository
root=$(git rev-parse --show-toplevel) || return
if [[ -n $root ]]; then
HaleTom / gem-patch
Last active August 20, 2016 10:27
Patch gems then build them
# Usage: gem-patch
# Code updates:
# Features:
# Work around `patch` returning non-zero if some patch hunks are already applied
# Apply all patches in $patch_dir (in order) to their corresponding gem(s)
# Build a gem only after all patches have been applied
# Only build the gem if it was patched
HaleTom / update_table
Created October 4, 2016 09:06
Update vim's ":help compatible" table from source code extract
#!/bin/bash -eu
function get_decorated_options {
# option_extract > while read -r option;
while read -r line; do
name=$(printf %s "$line" | sed -rn 's/^\s*\{\s*"(\w+).*/\1/p')
# Get decoration
HaleTom / pacman-backup
Last active March 9, 2017 11:42
Safely backup pacman's sync databases
# Safely backup the pacman databases to enable reversal of system upgrade.
# Use pacman -b <backupdirectory> to use the saved databses
# Latest version:
set -euo pipefail; shopt -s failglob # safe mode
HaleTom / Test.ipynb
Last active November 25, 2017 15:09
Test .ipynb
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HaleTom / describe.m
Last active July 9, 2019 08:27
Matlab/Octave: describe a variable (name, type, size)
% Based upon
% Gist at:
function varargout = describe(varargin)
% varargin used to accommodate variable number of input names
st = dbstack;
outstring = '';
for ii = size(st, 1):-1:2
outstring = [outstring, st(ii).file, ' > ', st(ii).name, ', line ', num2str(st(ii).line), '\n'];
HaleTom / nnCostFunction.m
Created July 9, 2019 08:34
Matlab gradient descent - Coursera's Machine Learning ex4/nnCostFunction.m
function [J grad] = nnCostFunction(nn_params, ...
input_layer_size, ...
hidden_layer_size, ...
num_labels, ...
X, Y, lambda)
%NNCOSTFUNCTION Implements the neural network cost function for a two layer
%neural network which performs classification
% [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ...
% X, y, lambda) computes the cost and gradient of the neural network. The
% parameters for the neural network are "unrolled" into the vector
HaleTom /
Created September 11, 2019 07:53
Keybase identity proof

Keybase proof

I hereby claim:

  • I am haletom on github.
  • I am tomhale ( on keybase.
  • I have a public key ASA0UCq38IWRstxf9o5_HXYCzXjb7paM7SF7QfHRykoxsAo

To claim this, I am signing this object: