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Gartner:
https://www.gartner.com/doc/2867017/-planning-guide-overview-architecting
https://www.gartner.com/doc/2929317/framework-evaluating-big-data-initiatives
https://www.gartner.com/doc/2773117/security-futures-plan-peak-threat
https://www.gartner.com/doc/2691917/big-data-needs-datacentric-security
https://www.gartner.com/doc/2621115/big-data-analytics-requires-ethical

Books and Training:
http://www.amazon.com/Data-Science-Big-Analytics-Discovering/dp/111887613X
http://www.kaggle.com/competitions#getting-started

byronyi

# Author: Vlad Niculae <[email protected]>
# Licence: BSD

from __future__ import division, print_function
import numpy as np
from sklearn.utils import check_random_state


class SquaredLoss(object):
    def loss(self, y, pred):

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### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

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/*
* Space complexity: O(1); Time complexity: O(n).
*/
void reverseString(char* str){
  if(str == NULL) return; // Validation checking.
  if(*str == "\0") return; // Empty string.
  
  char temp; // For swapping tail and head.
  
  char* head=str, tail=str; // Pointers for the beginning and the end of the string.