Yuya Jeremy Ong yutarochan

Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

Stores data elements based on an sequential, most commonly 0 based, index.
Based on tuples from set theory.

	queenSocket.onMessage = function(data) {
	data[0] += 1;
	queenSocket(data);
	};

	## install Catalyst proprietary
	sudo ntfsfix /dev/sda2
	sudo cp /etc/X11/xorg.conf /etc/X11/xorg.conf.BAK
	sudo apt-get remove --purge fglrx*
	sudo apt-get install linux-headers-generic
	sudo apt-get install fglrx xvba-va-driver libva-glx1 libva-egl1 vainfo
	sudo amdconfig --initial

	## install build essentials
	sudo apt-get install cmake

	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.layers.normalization import BatchNormalization

	#AlexNet with batch normalization in Keras
	#input image is 224x224

	model = Sequential()
	model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

	from matplotlib.patches import Rectangle
	import matplotlib.image as mpimg
	import matplotlib.pyplot as plt

	X = mpimg.imread('sloth.jpg')
	plt.imshow(X)
	plt.show()

	def sliding_window(image, stepSize, windowSize):
	# slide a window across the image

	public class LD {
	public static void main(String[] args) {
	// Testing Kitten & Sitting...
	String s1 = "kitten";
	String s2 = "sitting";
	System.out.println(computeLD(s1, s2, s1.length(), s2.length()));

	}

	public static int computeLD(String s1, String s2, int s1_l, int s2_l) {

	/*
	* Intended for unix-based systems capable of using wget commands.
	*/
	public static void wget(String url, String filename) throws Exception {
	String cmd = "wget -O " + filename + " " + url;
	Process process = Runtime.getRuntime().exec(cmd);

	BufferedReader r = new BufferedReader(new InputStreamReader(process.getInputStream()));
	String data = "";
	while ((data = r.readLine()) != null) System.out.println(data + "\n");

	public static List<String> googleSearch() throws Exception {
	String google = "http://www.google.com/search?q=";
	String search = "stackoverflow";
	String charset = "UTF-8";
	String userAgent = "ExampleBot 1.0 (+http://botexample.com/)";

	Elements links = Jsoup.connect(google + URLEncoder.encode(search, charset)).userAgent(userAgent).get().select("li.g>h3>a");
	List<String> linkList = new ArrayList<String>();

	for (Element link : links) {