Deep Learning
For more info :Â DEEP LEARNING.compressed Reference :Â (https://www.coursera.org/course/neuralnets) Presenter : Juno This seminar introduces Deep learning, which has been a buzz word in machine learning area for recent years. Since...
Brief Introduction to H/W Design
For more info :Â Brief Introduction to H_W Design_FORAMY Presenter : Neil I first introduced the most essential circuit elements for developing the hardware device and then explained how this element...
A Basic Tutorial to Logistic Regression
For more info  : log presenter : Jay The seminar covered the basics of logistic regression, which is the simplest method for classification. After going through an numeric example and the...
Seminar on Hologram
For more info :Â A_intro_to_the_Holographic_Projection_David_Kim_AKA_20141106.pdf This is an introduction to Holographic projection by David Kim. This is about principle and applications of analog and digital holograms. There are lot of fun...
Seminar on Speaker verification & GMM
For more info : Seminar on Speaker verification and GMM This seminar is about Speaker verification, which tells whether the speaker’s voice is same as the registered voice, and GMM...
Seminar on System Architecture
For more info : System_Arhchitecture_20140905 ***Peeking into the Seminar*** This seminar is a short explanation on key features and details to design an architecture for stable services. Key features and basics in...
Naive Bayesian Classifier Seminar
For more info : Naive Bayesian Classifier ***Peeking Into The Seminar*** Classifying is the basic feature of all machine learning. The most famous and widely known way of classifying is called Naive...
Learning Deep Architectures for AI Seminar
For more info: Learning Deep Architectures for AI This seminar was presented by Ash. The summary of this seminar is as follows. ***Peeking Into The Seminar*** Learning Deep Architectures for AI When people begin learning,...
Introduction to EBM seminar
For more info :Â Introduction to EBM_072514 ***Peeking Into The Seminar*** Part I The basic concept of statistical models and machine learning is the measurement of dependence between variables. After...