Spring

07 Mart 2016
By dilek.ustunalan

Logistic Regression for Sales Prediction

In this paper, we present a system to predict sales of a product. It is based on logistic regression technique. We train the algorithm using the past sales data of a certain product and we predict whether a customer will buy the product in the following day. We experiment with various parameters, such as regularization constant and number of customers and show the results.

07 Mart 2016
By dilek.ustunalan

Analysis of Musical Sounds for Music Information Retrieval

Music is an integral part of human life. We wanted to do a project on music, and we wanted to do something fun. In the first part of our senior project, we try to find the song that user records on his/her phone. We use Fast Fourier Transform, peak finding, hash generation and audio matching with the help of their fingerprints. Next semester, we are going to implement a system that can be used to change the instruments of Turkish Classical Music songs. We think it would be fun to change Kanun to Electric Guitar or Ney to Saxophone.

CmpE 352 Fundamentals of Software Engineering 2014 Spring

CmpE 321 Introduction to Database Systems 2014 Spring

CmpE 260 Principles of Programming Languages 2014 Spring

CmpE 482 Sp.Tp. Numerical Linear Algebra and Its Applications 2014 Spring

CmpE 230 Systems Programming 2014 Spring

CmpE 59I Sp.Tp. Brain Dynamics 2015 Spring

CmpE 441 High Level Synthesis 2015 Spring

Today, computing paradigm is shifting towards utilizing different types of processing units in the same platform. We see that Intel and AMD will produce their new chips with application processing units. These units are neither GPUs nor custom multicore processors. Application processing units are simply accelerators that speed up the computation while lowering the energy consumption.

CmpE 160 Introduction to Object Oriented Programming 2015 Spring

Sayfalar

RSS - Spring beslemesine abone olun.

Bize Ulaşın

Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi,
34342 Bebek, İstanbul, Türkiye

  • Telefon: +90 212 359 45 23/24
  • Faks: +90 212 2872461
 

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