Name: Forecasting events, from disease outbreaks to sales to cancer research by O'Reilly Radar in data science
Duration: 36 min 38 s
Description: O’Reilly’s Ben Lorica chats with Kira Radinsky, CTO and co-founder of SalesPredict, about predicting events using machine learning, NLP, and semantic analysis.

data science

On this episode of "Speaking of Bitcoin", join hosts Adam B. Levine, Andreas M. Antonopoulos, Stephanie Murphy and Jonathan Mohan for a discussion about loans in the world of crypto.
HODL. It's crypto-land philosophy for not selling your preferred token even when things look their most bleak. But where philosophy intersects with real-world concerns like shelter, food and the niceties of life, tactics have emerged offering both opportunities and risks. From smart contracts to bitcoin collateralized mortgages, the hosts discuss their experiences with loans in the world of crypto.
Credits
Today’s show featured Andreas M. Antonopoulos, Jonathan Mohan, Stephanie Murphy and Adam B. Levine, with editing by Adam B. Levine and music by Gurtybeats.com. Our episode art is a picture provided by The New York Public Library, modified by "Speaking of Bitcoin."
Any questions or comments? Send us an email at adam@speakingofbitcoin.show

SOB #496 The Ups and Downs of Crypto Loans

- Tell us something we don't know!
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Stranger Things ROCKS "Master of Puppets"!

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

In this episode, I talk with Liza Kindred, founder of Third Wave Fashion and author of the new free report “Fashioning Data: How fashion industry leaders innovate with data and what you can learn from what they know.” Kindred addresses the evolving role data and analytics are playing in the fashion industry, and the emerging connections between technology and fashion companies. 

In the second segment, I chat with Max Firtman, founder of ITMaster, about the state of the HTML5 space and the future of mobile. He stresses that the change the Internet of Things will bring to the space will be significant and companies need to prepare: "All we know for sure right now is that everything is going to change."

For more, visit O'Reilly Radar: http://oreil.ly/101zhb5

What happens when fashion meets data?

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

O’Reilly’s Ben Lorica chats with Kira Radinsky, CTO and co-founder of SalesPredict, about predicting events using machine learning, NLP, and semantic analysis.

Forecasting events, from disease outbreaks to sales to cancer research

O'Reilly's Ben Lorica talks with Angie Ma, co-founder and president of ASI, about the concept of the ASI, the structure of their training programs, and the data and startup scene in the UK.

Turning Ph.D.s Into Industrial Data Scientists and Data Engineers

We're back and working on the basis that not all TV shows are brilliant. Of course that depends on your opinion.

Check out our other shows on Simply Syndicated, they're all over SoundCloud.

S2E9 Say Yes to the Dress

Daredevil Season 2 is almost upon us and that means a new iteration of The Punisher, one of the most mangled and misrepresented characters in Marvel cinematic history! To help us wade through Frank Castle's movie graveyard, Lon Strickland comes on the show to argue that Dolph Lundgren's 1989 version is the best so far! Beyond that, we talk about Spider-Man dropping in on the 'Captain America: Civil War' trailer, the state of animation in the USA and what it was like for Lon to work at Machinima during their heyday!

Geekscape 402: Punishing The Guilty With Lon Strickland!

Doug shares the audio from the opening moments of The Benson Movie Interruption of "Willy Wonka And The Chocolate Factory."

P.S. I Love You

There’s no such thing as a free lunch. But could that change? We explore the idea of a “guaranteed basic income.”

For more innovative content, follow us:
twitter.com/IHubRadio
www.facebook.com/InnovationHubradio


Money For Nothing?

The first full album by This Cave Is Creepy. This is the official release, but a cassette tape only special edition will be printed. Only 20 copies so first come first served. It will include 5 tracks not included here and a really cool hand made tape box, courtesy of TRI-CITY REC. Those will be sold for 3 dollars. Or you can just listen to it here and download it here for free. It's up to you. Hope you like it leave me plenty of comments and suggestions. 

Sirens

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Forecasting events, from disease outbreaks to sales to cancer research

O'Reilly Radar

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