Minor typos corrected

Author: matrig

.gitignore

@@ -1,3 +1,4 @@
 .DS_Store
 *.pyc
 *.png
+*~

Chapter1_Introduction/Chapter1_Introduction.ipynb

@@ -131,7 +131,7 @@
       "\n",
       "\n",
       "#### A note on *Big Data*\n",
-      "Paradoxically, big data's predictive analytic problems are actually solved by relatively simple algorithms [2][4]. Thus we can argue that big data's prediction difficulty does not lie in the algorithm used, but instead on the computational difficulties of storage and execution on big data. (One should also consider Gelman's qoute from above and ask \"Do I really have big data?\" )\n",
+      "Paradoxically, big data's predictive analytic problems are actually solved by relatively simple algorithms [2][4]. Thus we can argue that big data's prediction difficulty does not lie in the algorithm used, but instead on the computational difficulties of storage and execution on big data. (One should also consider Gelman's quote from above and ask \"Do I really have big data?\" )\n",
       "\n",
       "The much more difficult analytic problems involve *medium data* and, especially troublesome, *really small data*. Using a similar argument as  Gelman's above, if big data problems are *big enough* to be readily solved, then we should be more interested in the *not-quite-big enough* datasets. \n"
      ]