I’ve seen the future of data science….

This article is cross-posted on the SAS blog and was written by Lane Whatley. “I’ve seen the future of data science, and it is filled with estrogen!” This was the opening remark at a recent talk I heard. If only I’d seen that vision of the future when I was

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Q & A with Meta Brown – Author of Data Mining for Dummies

This article is cross-posted on the Datascope blog. At the inaugural Chicago Women and Machine Learning & Data Science event, Meta Brown presented CRISP-DM: The Dominant Process for Data Mining. CRISP-DM is a popular data mining process; in fact, when a KDNuggets poll asked respondents what methodology they use for

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Machine Learning at Bloomberg

In April we had the chance to collaborate with Bloomberg to offer you a sneak peak into some machine learning that they do on a daily basis. In case you missed it, you can view the video here. Thank you to Bloomberg for sponsoring the event, space, and refreshments! The

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Sandhya Prabhakaran MLConf 2016 Event Summary

Post written by Sandhya Prabhakaran: MLConf 2016 Firstly, I would like to thank MLConf and NYC Women in Machine Learning & Data Science for giving me the opportunity to attending this informative, educational and cutting-edge conference. I would also like to thank all the conference sponsors that made this event

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Sandhya Prabhakaran MLConf 2016 blog post

Post written by Sandhya Prabhakaran: MLConf 2016 Firstly, I would like to thank MLConf and NYC Women in Machine Learning & Data Science for giving me the opportunity to attending this informative, educational and cutting-edge conference. I would also like to thank all the conference sponsors that made this event

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Modeling the Success of Software Developer Job Applications

If you missed Jon’s presentation on February 24th, you can find his blog post about it here. Thank you to Jon and the Untapt team for the presentation and to the Work Market for hosting us!

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Image Recognition Through Deep Learning & Neural Networks (Clarifai)

“Understand every image and video to improve life”. If you haven’t heard this quote before, then you definitely missed an amazing presentation by Matt Zeiler, the founder and CEO of Clarifai. The event started with an outstanding demo of the Clarifai product. Matt uploaded a picture of a heart and, in

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Data Science + the EHR

On January 21st we were excited to host Noémie Elhadad, Associate Professor of Bioinformatics at Columbia University. Her research focuses on ways in which large, unstructured clinical data sets (e.g. patient records) and health consumer data (e.g. online health communities) can be processed automatically to enhance access to relevant information

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Isha’s PyData Medium Post

Post taken from Isha’s Medium blog: PyData NYC 2015 Where Python and Data have beautiful babies Python enthusiasts who are interested in data analysis have no doubt used at least one, if not many, of the scientific computing libraries such as numpy, scipy, pandas, scikit-learn, statsmodels, matplotlib andIPython/Jupyter. It’s hard

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Samantha Bail PyGotham WordPress blog

Post taken from Samantha Bail WordPress blog: PyGotham 2015 When Python met the Cookie Monster Thanks to the NYC Women in Machine Learning & Data Science meetup group, I was able to attend this year’s PyGotham conference on a weekend in late August. With PyGotham being a fairly young conference

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