Data Science and Related

Max Shron and Jake Porway talk with Jon Bruner about frameworks for making reasoned arguments with data. Max's recent book, <a href="http://shop.oreilly.com/product/0636920029182.do"><i>Thinking with Data</i></a>, outlines the crucial process of developing good questions and creating a plan to answer them. Jake's nonprofit, <a href="http://www.datakind.org/">DataKind</a>, connects data scientists with worthy causes where they can apply their skills.

For more on this episode, visit the <a href="http://radar.oreilly.com/2014/03/podcast-thinking-with-data.html">O'Reilly Radar blog</a>.

<i>This episode is brought to you by <a href="http://solidcon.com/">Solid</a>, O'Reilly's new conference about the intersection between software and the physical world--including hardware, manufacturing, design, and the code that makes sense of it all. For more information on Solid, and to reserve tickets, visit http://solidcon.com.</i>

Thinking with data

Dr. Mark Gerstein of Yale University speaks to CHI on January 16, 2015. Dr. Gerstein will be a speaker during the Clinical Genomics track at Bio-IT World Conference & Expo, April 21-23, 2015 in Boston, MA.
 
Topics include evolving data science applications to genomics, the utility of networks for biological data analysis and integration, studying non-coding mutations for cancer genomics and personal genomics research, the computational tool FunSeq and more.

http://www.bio-itworldexpo.com/

BioIT World 2015 | Applying Data Science, Bioinformatics and Networks to Cancer Genomics

O'Reilly's Ben Lorica chats with Anima Anandkumar about tensor decomposition techniques for machine learning.

The Tensor Renaissance In Data Science

The best cooks know cooking a meal is all about having a plan (and a back-up plan if things go south); get the cooking out of the way, and then you can enjoy your family and friends -- the most important part. But now try doing it for thousands. 

How can one company be the de facto sous chef for so many? Turns out there's a lot of data science behind it, in everything from procurement to forecasts to logistics: what to cook, what people will like, what ingredients are required, what to produce at scale. In this segment of the a16z Podcast, Gobble's Ooshma Garg suggests that every modern food company is really a tech company (or should be). Is there a science to taste?

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Data Science and Related

Dorai Thodla