FCIS-Machine-Learning-2017

This repository contains all the materials of the Machine Learning course that is held in Faculty of Computers and Information Sciences - Ain Shams University. Provided by acmASCIS Student Chapter.

Studying Materials

In general, the sessions content is a hybrid between 3 popular machine learning courses and 1 book.

The first one is Andrew Ng's course https://www.coursera.org/learn/machine-learning

The second one is Geoffery Hinton's Neural Networks course https://www.coursera.org/learn/neural-networks

The third one is Google's course on Udacity https://www.udacity.com/course/deep-learning--ud730

Finally, the book is MIT's Deep Learning book http://www.deeplearningbook.org/ . You can check the book chapters in HTML

Session#1

It was just introduction. You can just read this http://blog.hackerearth.com/explaining-basics-of-machine-learning-algorithms-applications and the presentation

Session#2

https://www.youtube.com/watch?v=kHwlB_j7Hkc

https://www.youtube.com/watch?v=yuH4iRcggMw

https://www.youtube.com/watch?v=yR2ipCoFvNo

https://www.youtube.com/watch?v=0kns1gXLYg4

https://www.youtube.com/watch?v=F6GSRDoB-Cg

https://www.youtube.com/watch?v=YovTqTY-PYY

https://www.youtube.com/watch?v=GtSf2T6Co80

https://www.youtube.com/watch?v=OS7KXu0447I

Session#3

https://www.youtube.com/watch?v=-la3q9d7AKQs

https://www.youtube.com/watch?v=t1IT5hZfS48

https://www.youtube.com/watch?v=F_VG4LNjZZw

https://www.youtube.com/watch?v=HIQlmHxI6-0

https://www.youtube.com/watch?v=TTdcc21Ko9A

https://www.youtube.com/watch?v=6vO3DVJlsK4

https://www.youtube.com/watch?v=-EIfb6vFJzc

For Softmax regression: http://ufldl.stanford.edu/wiki/index.php/Softmax_Regression

Session#4

https://www.youtube.com/watch?v=l0foB9mUrc4

https://www.youtube.com/watch?v=YRMvQuutgS8

https://www.youtube.com/watch?v=0T57_yjjB58

https://www.youtube.com/watch?v=d6nFTN081S8

https://www.youtube.com/watch?v=mI6jTc-8sUY

https://www.youtube.com/watch?v=Q0mTl9dQ4_I

https://www.youtube.com/watch?v=tIovUOirJkE

https://www.youtube.com/watch?v=Z8jzCvb62e8

https://www.youtube.com/watch?v=LOc_y67AzCA

https://www.youtube.com/watch?v=vlSI79ringA

Session#5

Original Paper: https://arxiv.org/pdf/1310.4546.pdf

https://www.youtube.com/watch?v=ERibwqs9p38

https://ahmedhanibrahim.wordpress.com/2017/04/25/thesis-tutorials-i-understanding-word2vec-for-word-embedding-i/

https://ahmedhanibrahim.wordpress.com/2017/04/27/thesis-tutorials-ii-understanding-word2vec-for-word-embedding-ii/

Data Standardization & Cross Entropy: https://ahmedhanibrahim.wordpress.com/2014/10/10/data-normalization-and-standardization-for-neural-networks-output-classification/

Session#6

https://www.youtube.com/watch?v=_Ex1Ur85AVs

https://www.youtube.com/watch?v=ARQ6PZh8vgE

http://ufldl.stanford.edu/tutorial/unsupervised/Autoencoders/

http://www.deeplearningbook.org/contents/autoencoders.html

http://deeplearning.net/tutorial/dA.html

Overfitting and Underfitting: https://www.youtube.com/watch?v=j9_yzC-x-js