The goal of this one day event is to help the students who have taken the “Introduction to Machine Learning” course to get hands-on coding experience and get familiar with a platform for writing machine learning applications. The platform that will be discussed is a new declarative learning based programming language called Saul. The students learn how to start from scratch reading their data into a learning based program and start doing experimentation with feature extraction, training and evaluation of their models. We will have one tutorial as a part of the morning session and one as a part of the afternoon session. The rest of the day students do programming and will be helped to design an end-to-end basic model for their selected problem. This event is open to students outside the class and the interested colleagues and the general public.
Notes: For CMPS 3240/6240 students:
To take the full advantage of this event, you will need to have the following items before the workshop:
1. A laptop and basic programming skills.
2. IntelliJ IDEA, Java 8 and sbt (simple build tool) installed on your machines.
3. Assuming that you have a project specification already, have your raw data and your data reader program available.
For other interested participants: You could listen to the tutorial sessions and, if interested in doing more, prepare items 1 and 2 above and try out a walk-through example with us. There will be sandwiches for lunch; therefore, we need to know how many people will participate. Please email firstname.lastname@example.org, if you plan to attend. All class members are strongly encouraged to participate.
Machine learning techniques are often used for data analysis and decision-making tasks such as forecasting, classification of risk, estimating probabilities of default, and data mining. However, implementing and comparing machine learning techniques to choose the best approach can be challenging. In this seminar, you will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best technique to your problem. Highlights include unsupervised and supervised learning techniques such as:
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naïve Bayes Classification
• Linear, logistic and nonlinear regression
Date: Wednesday, March 2, 2016
Time: 7 p.m. – 9 p.m.
Location: Anna Many Lounge, #205 Caroline Richardson Building, Tulane University
Tulane is hosting .
Tulane is hosting the first spring undergraduate Remote Programming Contest. Everyone is invited to compete. There will be a novice division for students who have not yet completed CMPS 1600 at Tulane and an expert division for everyone else. (Transfer students and guests from other universities may have completed a maximum of 2 college-level CS courses to compete as a novice. Novices may opt to play in the expert division).
Teams consist of 3 undergraduate students (any major, any class year). Grad students only by special permission; CS grad students cannot participate in this competition.
The competition is organized by Bucknell University, who kindly invited New Orleans students to participate remotely. During the competition, the students will work at Tulane on their laptops and submit solutions to Bucknell for judgement. A small number of other great universities were invited, among them Southeast University in China (located in Nanjing, which is 14 hours ahead of New Orleans). This timezone span dictates the need to schedule the contest early on Sat. April 9th, starting at 7am and running till noon New Orleans time. We are planning to run continuous teleconference between all participating sites and award diplomas and prizes.
The expert division teams will solve programming problems (that focus on problem solving techniques, no large software or GUIs). The novice teams will solve a mixture of logic puzzles and programming problems. Teams can program in their choice of Python, Java, C, C++, Ruby, or Matlab on each problem.
Teams can sign up here until April 1st: http://goo.gl/forms/my5z1BcIlR»
If you have questions, please write to Prof. Kurdia at email@example.com .
The Department of Computer Science invites everyone to the Computer Science Capstone Projects Presentation, a free public celebration of the achievements of our graduating seniors, who will present the results of their year-long interdisciplinary capstone projects.
The event is scheduled for Friday, May 6, in Stanley Thomas Hall, room 302, Tulane University (Uptown campus) and consists of two parts:
• 9 am - 10:20 am: Lightning talks, where each graduating student will deliver a five-minute talk summarizing the problem they were working on and their solution.
• 10:20 am - 11:40 am: Poster session, where the speakers will be available to provide more details about their projects, demonstrate software applications and hardware devices they have built, and answer questions from the audience.
Refreshments will be available at the poster session.
You are welcome to attend either or both sessions, and invite anyone who might be interested. Happy Computing! If you have questions, please write to Prof. Anastasia Kurdia at firstname.lastname@example.org .
Date: Wednesday, April 29, 2015
Time: 10 a.m. – 11 a.m.
Location: Stanley Thomas 302, Tulane University
Sabrina Farmer» is a senior engineering manager for the Site Reliability team at Google, responsible for Google Apps, and directly manages the teams responsible for running Gmail, the world's largest internet email service. She has been in production engineering for more than 18 years, and is a long-time advocate and supporter for women in technology.
Ms. Farmer will visit our campus tomorrow, Wednesday, April 29th, from 10:00 - 11:00 a.m. Please join us at ST 302 for an informal get-together to meet her and learn more about her experiences at Google. Light refreshments will be served.
Date: Thursday, November 13, 2014
Time: 12 p.m. – 1 p.m.
Location: Anna Many Lounge in the Caroline Richardson Building
This event presents students with the opportunity to talk with representatives of a leading tech firm and learn about job and training opportunities with General Electric Capital, and about life of computing specialists there. Prof. Anastasia Kurdia of the Dept. of Computer Science, the organizer of the event, will also be happy to answer any questions students might have about working in computing-oriented industry.
Reception: Tuesday, June 25, 2013
Time: 6 PM – 7:30 PM
Location: Lavin-Bernick Center for University Life – Qatar Ballroom – Room 212
Mathematical Foundations of Programming Semantics Twenty-Ninth Conference
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Twenty-Eighth Annual ACM/IEEE Symposium on
Logic in Computer Science (LICS 2013)
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2013 IEEE 26th Computer Security Foundations Symposium
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School of Science and Engineering, 201 Lindy Boggs Center, New Orleans, LA 70118 504-865-5764 email@example.com