diff --git a/README.md b/README.md
index 14e68ca..692d5fa 100644
--- a/README.md
+++ b/README.md
@@ -48,7 +48,7 @@ More about Github flavored markdown: https://guides.github.com/features/masterin
 
 ## Get in a Googley Mood
 
-Print out a "[future Googler](https://github.com/jwasham/project-9894/blob/master/future-googler.pdf)" sign (or two) and keep your eyes on the prize.
+Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize.
 
 ## Follow me
 
@@ -1088,11 +1088,15 @@ Some of mine (I already may know answer to but want their opinion or team perspe
 - [ ] Machine Learning:
     - Why ML?
         - [x] https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70
+    - [ ] Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow):
+        - https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
     - [x] great course (Stanford): https://www.coursera.org/learn/machine-learning
-    - [ ] Google course on Udacity: https://www.udacity.com/course/deep-learning--ud730
-    - https://www.youtube.com/watch?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal&v=cSKfRcEDGUs&app=desktop
-    - http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/
-    - http://www.dataschool.io/
+    - [ ] Google's Deep Learning Nanodegree: https://www.udacity.com/course/deep-learning--ud730
+    - [ ] Google/Kaggle Machine Learning Engineer Nanodegree: https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009
+    - [ ] Self-Driving Car Engineer Nanodegree: https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013
+    - [ ] Metis Online Course ($99 for 2 months): http://www.thisismetis.com/explore-data-science
+    - [ ] Practical Guide to implementing Neural Networks in Python (using Theano): http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/
+    - Data School: http://www.dataschool.io/
     - [ ] Vector calculus
 
 - [ ] Parallel Programming:
diff --git a/extras/bits-cheat-cheet.pdf b/extras/bits-cheat-cheet.pdf
new file mode 100644
index 0000000..4f3c8d9
Binary files /dev/null and b/extras/bits-cheat-cheet.pdf differ
diff --git a/extras/bits.php b/extras/bits.php
new file mode 100644
index 0000000..d529483
--- /dev/null
+++ b/extras/bits.php
@@ -0,0 +1,53 @@
+<html>
+<style>
+    body {
+        font-family: courier, fixed, sans-serif;
+    }
+    h1 {
+        font-size: 1.25em;
+    }
+    table, td {
+        border: 1px #cccccc solid;
+    }
+    table {
+        border-collapse: collapse;
+    }
+    td, th {
+        padding: 0.3em 1em;
+        font-size: 0.85em;
+    }
+    tbody tr:nth-child(odd) {
+        background-color: #f3f3f3; /* zebra stripes */
+    }
+</style>
+
+<body>
+<h1>Bits Cheat Sheet</h1>
+
+<table>
+    <thead>
+        <tr>
+            <th>&nbsp;</th>
+            <th>2<sup>n</sup></th>
+            <th>Bits</th>
+            <th>Max unsigned int</th>
+            <th>Min signed int</th>
+            <th>Max signed int</th>
+        </tr>
+    </thead>
+    <tbody>
+        <? foreach(range(1, 32) as $b): ?>
+            <tr>
+                <td>2<sup><?=$b ?></sup></td>
+                <td><?=number_format(pow(2, $b)) ?></td>
+                <td><?=$b ?></td>
+                <td><?=number_format(pow(2, $b) - 1) ?></td>
+                <td><? $num = pow(2, $b) / 2 * -1 ?><?=number_format($num) ?></td>
+                <td><? $num = pow(2, $b) / 2 - 1 ?><?=number_format($num) ?></td>
+            </tr>
+        <? endforeach; ?>
+    </tbody>
+</table>
+
+</body>
+</html>
\ No newline at end of file
diff --git a/future-googler-preview.png b/extras/future-googler-preview.png
similarity index 100%
rename from future-googler-preview.png
rename to extras/future-googler-preview.png
diff --git a/future-googler.pdf b/extras/future-googler.pdf
similarity index 100%
rename from future-googler.pdf
rename to extras/future-googler.pdf
