Cambridge Spark Free Webinar: Exploratory Data Analysis in Python
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About this Webinar:
In machine studying and knowledge science, fancy new algorithms get all of the press, however the true battle is gained in the trenches. You are solely pretty much as good as your knowledge. Garbage in, rubbish out. Exploratory knowledge evaluation, pre-processing, and have engineering are the unsung heroes of knowledge science and machine studying. This webinar will use python for instance quite a few instruments and techniques to take an unprocessed knowledge set (resembling one that you simply may discover on-line or obtain from a colleague) and do exploratory evaluation, clear the info, and engineer options to feed to machine studying algorithms.
About the speaker: Patrick Short
Patrick is a educating fellow at Cambridge Spark and conducting his PhD at Cambridge University on the Wellcome Trust Sanger Institute. Patrick’s work focuses on analyzing the position of non-coding mutations in developmental issues. Patrick is integrating quite a lot of various knowledge units together with epigenetic marks, transcription issue binding predictions, and detailed scientific phenotypes with genome sequence knowledge. Patrick accomplished his undergraduate training on the University of North Carolina at Chapel Hill (UNC) with a double-major in Applied Mathematics and Quantitative Biology with a minor in Chinese.
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