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GNURadio and Big Data

You 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. Chandler is the event host.

Program

7:00pm-7:20pm Talk: "Text Classification in Python – using Pandas, scikit-learn, IPythonNotebook and matplotlib" (Jimmy Lai)
7:20pm-7:30pm Questions and Answers
7:30pm-7:50pm Talk: "GNU Radio Talk 3" (Albert Huang)
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: Text Classification in Python – using Pandas, scikit-learn, IPythonNotebook and matplotlib

Big data analysis relies on exploiting various handy tools to gain insight from data easily. In this talk, the speaker demonstrates a data mining flow for text classification using many Python tools. The flow consists of feature extraction/selection, model training/tuning and evaluation. Various tools are used in the flow, including: Pandas for feature processing, scikit-learn for classification, IPython, Notebook for fast sketching, matplotlib for visualization.

許多便利的工具可以用來協助在 Big data 的分析。在這次的分享中,講者會示範如何使用 Python 進行 text classification,包含了資料特徵的擷取與選擇、模型 (model) 的訓練、調整、與效能評估。Pandas 可以處理特徵,scikit-learn 負責分類資料、IPython 與 Notebook 協助快速開發,而 matplotlib 提供視覺化能力。

About the Speaker: Jimmy Lai

Jimmy is a Python guy in the field of Natural Language Processing(NLP) and Machine Learning(ML). He specializes in exploiting cloud computing techniques for large-scale data analysis, and provides as an web application. He is currently working in Oxygen Intelligence for NLP application.

Abstract of the Talk: How to Write a Signal Processing Block for GNU Radio in Python?

Abstract:

Since version 3.6.3, GNU Radio provides capabilities to write a signal processing block in Python. This further extends its flexibility to a higher limits. In this presentation, the author will give a tutorial on how to write a signal processing block in Python for GNU Radio 3.6.3.

About the Speaker: Albert Huang

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

Albert 是一名程式設計師與通訊系統工程師。從 2000 開始使用 Python 至今,並在那之後, 大量把 Python 應用在提升工作效能上。他在 通訊晶片產業擔任 DSP programmer 八年以上。他的興趣是通訊工程與工程通訊,涉獵 很廣泛,從基頻、MAC layer 到排版都有興趣。

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