Name: Building Big Data Systems in Academia and Industry by O'Reilly Radar in Data Science
Duration: 34 min 11 s
Description: O'Reilly's Ben Lorica talks with Mikio Braun about machine learning, stream processing and analytics, his recent foray into data science training, and academia versus industry.

Data Science

Cloudera Co-Founder Mike Olson shares his insights on the present landscape and possible future of big data and the data management industry. In conversation with Ping Li of Accel Partners, Olson also discusses the advantages of building a business on top of open source technologies and the many surprising benefits of competition.

Mike Olson, Ping Li - Opportunities Abound in the Big Data Space

- Tell us something we don't know!
- Stranger Things ROCKS "Master of Puppets"
- An Iowan on Jeopardy? (Waukee!)
- What's next for the Big 12?

Stranger Things ROCKS "Master of Puppets"!

Athlétique et intrépide, Giovanna Amati n’a qu’une idée en tête: devenir pilote automobile. Pour l’heure, la jeune femme de 19 ans vit enchainée dans un caisson obscur et insonorisé de 4m². Daniel Nieto est son geôlier attitré. Une nuit, il entre dans la cage à visage découvert...

Enlèvement à l’italienne
Rome. Fin des années 1970. Daniel Nieto, un braqueur marseillais, est en cavale dans l’Italie des années de plomb où le rapt est une véritable industrie. Il devient kidnappeur et enlève la fille d’un riche industriel du cinéma. Une relation contre-nature se noue entre l’otage et son geôlier. Elle sera fatale à ce dernier.

Une série documentaire de Marine Vlahovic
Enregistrements: Août 2020 à mai 2022 - Entretiens: Marine Vlahovic - Montage : Marine Vlahovic et Sara Monimart - Réalisation : Marine Vlahovic et Samuel Hirsch - Musique originale & mixage: Samuel Hirsch - Illustration : Zaven Najjar - Production : Arte Radio

Enlèvement à l'italienne(4/7): Dans la cage

Wall Street Journal's Josh Zumbrun details how airlines get rid of certain passengers on a flight and how passengers can fight against this issue.

The Science Behind Who Airlines Bump From a Flight—and How to Exploit It

Listen to an excerpt from I'M GLAD MY MOM DIED by Jennette McCurdy, read by the author.

I'M GLAD MY MOM DIED Audiobook Excerpt

LC.12_Smoke_Everything Eaten in One Year

Liebe Hörerinnen und Hörer,

gestartet sind Jochen Gebauer und Dom Schott mit der gleichen, heiligen Mission: Einen treuen Kult errichten und vier böse Gottheiten vom Thron stoßen, das erklärte Ziel von Cult of the Lamb. Die Wege aber, die die beiden dafür einschlugen, hätten unterschiedlicher nicht sein können. Und so kommt das Duo nach vielen Stunden wieder zusammen, um über das große Kot-Müsli-Fiasko, Opferrituale, unheilige Festessen, Hamsterräder und süchtig machende Arbeitsroutinen zu sprechen - und ihren Kultführungsstil miteinander zu vergleichen.

Viel Spaß!
Dom & Jochen

Timecodes:

00:00 - Einstieg                         	
04:10 - Spielidee & Grafik               	
22:41 - Aufbau des Kults                 	
37:01 - Rituale                          	
53:28 - Die Runs                         	
1:17:45 - Probleme des Spieles             	
1:29:03 - Fazit

Auf ein Bier

Runde 387: Cult of the Lamb

Social Science, Small worlds and Big Data

Carl Frampton v Kiko Martinez II dominates the podcast with the Northern Irishman, Frampton, bidding to win his 19th bout in a row.
Mike Costello and Steve Bunce discuss the fight as well as who Carl Froch's next opponent should be and the future of Anthony Joshua. Sep 04, 2014

5lspecials: 5live Boxing: Frampton v Martinez 04 Sep 14

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 talks with Mikio Braun about machine learning, stream processing and analytics, his recent foray into data science training, and academia versus industry.

Building Big Data Systems in Academia and Industry

Le sommier qui grince. Les cris et gémissements de la porte à-côté. Le plafond qui menace de s'écrouler. Pourquoi la vie sexuelle de nos voisins est-elle aussi envahissante ? Comment une activité privée finit-elle par devenir publique ? Ils prennent du Viagra ou des amphétamines ? Et surtout : est-ce que par hasard... on n'aimerait pas entendre - et écouter - nos voisins ?

A retrouver aussi sur la chaîne Youtube ARTE Radio
Enregistrements : avril 18 - Mise en ondes & mix : Arnaud Forest - Texte & voix : Maïa Mazaurette - Illustration : Sjoerd van Leeuwen

Sex and sounds (n°26) : Les voisins bruyants

Guess Who

While shooting the cultish webserie “New York Minute”, Samuel Hirsch recorded some urban sounds and voices for this short Afro-American ballad.  
Recorded on March 2010 - Directed by Samuel Hirsch - Produced by http://arteradio.com
Balade sonore à New York, avec sons urbain et voix afro-américaines. Enregistrée et montée par Samuel Hirsch pendant le tournage de "New York Minute", la web série culte produite par ARTE Radio.  

Download : http://bit.ly/1gFFt92


NY state of mind

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.

Building Big Data Systems in Academia and Industry

O'Reilly Radar

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