GNURadio and liblinear

ou can reach us online at the python.tw mailing list https://groups.google.com/forum/#!forum/pythontw , or Freenode/#python.tw IRC channel.

The talks will be in Mandarin but slides should be in English. You can always speak English to all the attendees.

Program

6:30pm-7:00pm Gathering
7:00pm-7:20pm Talk: Introduction to Digital Signal Processing by GNU Radio (Albert)
7:20pm-7:30pm Questions and Answers
7:30pm-7:50pm Talk: Quick glance on Liblinear (Chandler)
7:50pm-8:00pm Questions and Answers
8:00pm-8:10pm Lightning Talk
8:10pm-8:20pm Self Introduction
8:20pm-9:00pm Free Discussion
9:00pm See You Next Time

Abstract of the Talk: Albert

Software-defined radio (SDR) is emerging because of recent significant progress of computing power and is employed in many fields, including military systems, baseband systems, communication system research, as well as scientific research, such as space exploration. GNU Radio is a free and open source software-defined radio framework written in Python and has been developed more than ten years ago. It is especially gained much attention and improved after cheap front-end hardware available in the market. Digital signal processing is the basis of software-defined radio and hence GNU Radio is a digital signal processing framework. In this talk, the author will start from introduction to the concepts of software-defined radio and then illustrate how to develop signal processing code in Python with GNU Radio.

About the Speaker: Albert

He is both a programmer and a communication engineer. He learned Python in 2000 and has used it extensively on improving his workflow eversince. He has been working in communication IC industry for more than eight years. His interests include communication engineering andengineering communication, which consists of fields from physical layer to MAC layer as well as typesetting.

Abstract of the Talk: Quick glance on Liblinear

In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Liblinear is a well-know library that implement Support Vector Machines, and it also provide a python wrapper which make it easy to use. This talk will go though basic concept of SVM, usage about Liblinear, and a live demo of using Liblinear to classify data.

在機器學習領域中，SVM是一個監督式學習的模型，延伸出資料分析與模式辨別等演算法，被廣泛應用在資料分類，迴歸計算等分析上。Liblinear 是一個被常著名實作SVM的函式庫，而且他還有提供Python的Wrapper讓使用者可以很容易使用。本次分享會簡述基本的SVM模型，Liblinear的基本使用方式以及利用Liblineaer進行資料分類的的現場演示。

About the Speaker: Chandler

Chandler works for a start-up company as a software developer for about two years, focus on data mining, machine learning for the moment. He is interested in using python to deal with big data about semantic analysis.

Chandler 在一間新創公司擔任了兩年的軟體開發員。他目前專注在資料探勘與機器學習等領域。他的興趣在使用 Python 處理語意分析等大資料問題 。