The O'Reilly Data Show explores the opportunities and techniques driving big data and data science. Through interviews and analysis, we highlight the people putting data to work.

The O'Reilly Data Show Podcast

Great Ming is having some problems with its border troops who think orders are actually "suggestions." The Jiajing Emperor is having some problems with his ministers being self-serving twits. Meanwhile, there's some strange happenings going on beyond the wild frontiers...

Time Period Covered:
~1510-1540 CE

The History of China

#235 - Ming 25: Some Light Treason

Host Meg Wolitzer presents three works about women who defy the status quo and might therefore be perceived as “dangerous.”  In Margaret Atwood’s “Unpopular Gals,” fairy-tale archetypes reclaim their power. The reader is Ann Harada.  A boisterous and brilliant student threatens to upend the order of her high school in Shanteka Sigers’ “A Way with Bea,” performed by Pascale Armand.  And a Victorian-era wife fights for her sanity in Charlotte Perkins Gilman’s classic “The Yellow Wallpaper,” performed by Carrie Coon.  The show also includes commentary by the Egyptian-American journalist and activist Mona Eltahawy.

Dangerous Women

When Swiyyah and Dederick got married, her schizophrenia was a challenge they thought was under control. Until it wasn’t. And Glynn tells a story at Snap LIVE in Brooklyn about searching for his lost friend in Las Vegas.

STORIES

Swiyyah and Dederick

When Swiyyah and Dederick got married, her schizophrenia was a challenge they thought was under control. Until it wasn’t. Listen as they share their story of facing life’s many challenges with love, faith, and each other.

This story comes to us from the amazing Unseen & Unheard podcast. This show aims to change the way we see schizophrenia and schizoaffective disorder by revealing the untold stories of those actually living with these illnesses. Hear from adults in the US going through life with these conditions. The hardships. The humanity. But also, the hope. Learn more at www.UnseenUnheardPodcast.com.

This story was produced by PRX productions, Jocelyn Gonzales, Ian Fox, with writing by Sarah Lilley, and engineering by Tommy Bazarian with assistance from Marisa Dodge. It is sponsored by Janssen Pharmaceuticals.

Leaving Las Vegas

Glynn tells a story at Snap LIVE in Brooklyn about searching for his lost friend in Las Vegas. Music by Bells Atlas. Engineering by Pat Mesiti-Miller.

This story contains some strong language. Sensitive listeners please be advised.

Artwork by Teo Ducot

Season 13 – Episode 33

Unseen & Unheard

AWS Private 5G, IoT &amp; home gateways, IT hardware with Curvature, and more.<ul> 
<li>Amazon launches AWS Private 5G so companies can build their own 4G mobile networks</li> 
<li>Lessons learned in the world of WiFi</li> 
<li>Man who built ISP instead of paying Comcast $50K expands to hundreds of homes</li> 
<li>How to secure an IoT home with gateways</li> 
<li>Curvature General Manager of Global Hardware Sachi Thompson talks IT hardware: expanding for remote work, new vs. preowned, and more</li></ul> 
Hosts: <a href="https://twit.tv/people/louis-maresca">Louis Maresca</a> and <a href="https://twit.tv/people/brian-chee">Brian Chee</a> 
Guest: <a href="https://www.linkedin.com/in/sachi-thompson/" target="_blank">Sachi Thompson</a> 
Download or subscribe to this show at <a href="https://twit.tv/shows/this-week-in-enterprise-tech">https://twit.tv/shows/this-week-in-enterprise-tech</a>. 
Get episodes ad-free with Club TWiT at <a href="https://twit.tv/clubtwit" rel="payment">https://twit.tv/clubtwit</a>
Sponsors:<ul>
<li><a href="http://irlpodcast.org/twit" target="_blank" rel="sponsored">IRL Podcast</a></li>
<li><a href="http://UserWay.org/twit" target="_blank" rel="sponsored">UserWay.org/twit</a></li>
<li><a href="http://itpro.tv/enterprise" target="_blank" rel="sponsored">itpro.tv/enterprise use code ENTERPRISE30</a></li>
</ul>

This Week in Enterprise Tech 506: Real IT Hardware Has Curvature

On this week’s episode of The One Piece Podcast we have hosts Zach, Ed, Steve & Alex for our recap of One Piece Chapter 1060, “Luffy’s Dream”! This week we have special guest Henry Thurlow joining us first for the Anime Recap for Episodes 1033, The Conclusion! Luffy’s Accelerating Fist of the Supreme King! with Toei Animation’s Henry Thurlow and hosts Ed, Steve & Sam Leach! Then we go through our Manga Recap for One Piece Chapter 1059, “Luffy’s Dream”  Daniel Rustage (rapper, producer, podcaster) and Vero (social media intern, host of the upcoming Luv Letters Podcast, mod on the upcoming OPP Atlas) plus Piece Together and then the YAOI THUNDERDOME!

Credit to Steve for this week’s episode image! Check out all of the alternate images and titles on our Patreon, subscribe today at patreon.com/onepiecepodcast! You can see the alternate titles and images for this week’s episode here.

This week’s episode is edited by Dan!

0:00:00 – Introduction & Bath Bombs
0:18:17 – Anime Recap: Episode 1033
1:35:04 – Manga Recap Chapter 1060
3:01:35 – Piece Together
3:27:15 – To Be Continued & The Yaoi Thunderdome

PODCAST ANNOUNCEMENTS!


The One Piece Podcast Atlas: a One Piece Podcast fanbook with art & articles from the crew and community, we are excited to create a project that showcases everything we love about being part of the One Piece community!
We are proud to announce that the second episode of Real It In: A One Piece Podcast Live Action Podcast with Sam & Jill is out now! The third episode has been recorded!
The third season of Fight Together continues every month! The latest episode about Asexuality & Aromanticism is out now!
The first three episodes of “The Grand Line” — our OPPTTRPG with Dan, Josh, Vero, Brodsky, Sam, Ruby, Zach & Sean — are out now!
Arcs of Consequence 2 will arrive at the end of 2022, timed with The One Piece Podcast Atlas!
You can pick up One Piece Podcast merch from our TeePublic store! Check it out!

INTRODUCING: The OPP Treasure Box!

To celebrate our 13th anniversary, we are giving away prizes to one lucky winner every month for the next twelve months! All you have to do is follow the One Piece Podcast Twitter account at @OnePiecePodcast and then retweet one of our Monday Podcast Episode tweets. It only takes one retweet to enter but your chances are higher if you retweet every episode post that month.

You can subscribe on Patreon and get access to our 700+ episode archive, exclusive episodes with our special guests, SWAG and a lot more. Don’t miss out, subscribe at patreon.com/onepiecepodcast to get the full One Piece Podcast experience! We have the full One Piece Podcast documentary The One Piece Podcast Goes to Japan exclusively on Patreon!

Episode 738, "The Grimu"

Xi Jinping won a third term as general secretary of the Chinese Communist Party. Our correspondent explains how the recent party congress solidified Xi’s grip on power. With record numbers of people showing up, America’s southern border is a political and actual problem for the Biden administration. And why FIFA and EA Sports have parted ways after 30 years. <hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

Number three for Xi: Power in China

Power is a funny thing. If people have it, they think they control you. But what if you decide, they don't have it anymore? On the next all-NEW Snap, "High and Mighty." Storytelling with a beat, from PRX and NPR.

Listen to the entire Snap Judgment episode "High and Mighty"

Century City

Josh Vergara, Joe Hindy and Jonathan Feist are joined by John Dye, at least until security pulls him out of his old school, for a pretty chill episode of the AA Podcast. We'd ask you to schedule us in, but all the good calendars are gone, we'd ask you to download our show to listen later, but our favorite file manager has gone rotten, at least VR is hitting homes and we're excited to see what the Vive and other contenders accomplishes next. Finally, we spend more than a few minutes debating if tech bloggers are out of touch with the average user, or if we think the average user is out of touch with technology as a whole.

Thank you for joining us, be sure to check out our Gary explains series, bringing you an in-depth look at hardware and Android development topics ranging from system cache to what limits the size of the microSD card on your phone. See it all here on the site or see all the Gary explains on our YouTube, tune in to check it out. Also check out our partner sites - SoundGuys cover the best mobile audio gear and TabTimes talks all things tablet. Sign up for our various newsletters and enter for your chance to win one of our many giveaways.

The Android Authority Podcast - discussing topics in Android every week.

063: Notice me Senpai

Steven Q-Beatz Kubie
If U Like It
Produced by Steven Q-Beatz Kubie for Steven Kubie Productions LLC

Steven Q-Beatz - If U Like It (Prod. By Steven Q-Beatz)

In this episode of the Data Show, I spoke with Roger Chen, co-founder and CEO of Computable Labs, a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016. This conversation took place the day after Chen and his collaborators released an interesting new white paper, "Fair value and decentralized governance of data." Current-generation AI and machine learning technologies rely on large amounts of data, and to the extent they can use their large user bases to create “data silos,” large companies in large countries (like the U.S. and China) enjoy a competitive advantage. With that said, we are awash in articles about the dangers posed by these data silos. Privacy and security, disinformation, bias, and a lack of transparency and control are just some of the issues that have plagued the perceived owners of “data monopolies.”

Acquiring and Sharing High-Quality Data

In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences. Most recently she has been focused on developing best practices that can help practitioners make safe, effective use of AI and data. Kozyrkov uses her platform to help data scientists develop skills that will enable them to connect data and AI with their organizations' core businesses.

We had a great conversation spanning many topics, including:

How data science can be more useful

The importance of the human side of data

The leadership talent shortage in data science

Is data science a bubble?

Make Data Science More Useful

In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project. Snorkel is a framework for building and managing training data. Based on our survey from earlier this year, labeled data remains a key bottleneck for organizations building machine learning applications and services.

Ratner was a guest on the podcast a little over two years ago when Snorkel was a relatively new project. Since then, Snorkel has added more features, expanded into computer vision use cases, and now boasts many users, including Google, Intel, IBM, and other organizations. Along with his thesis advisor professor Chris Ré of Stanford, Ratner and his collaborators have long championed the importance of building tools aimed squarely at helping teams build and manage training data. With today’s release of Snorkel version 0.9, we are a step closer to having a framework that enables the programmatic creation of training data sets.

Labeling, Transforming, and Structuring Training Data Sets for Machine Learning

In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built some well-regarded Alexa skills, mastered ML services on AWS, and has now firmly added machine learning to her developer toolkit.

Becoming a Machine Learning Practitioner

In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems. On the applications side, he has contributed to systems used for internet and social media analysis, social network analysis, as well as for a host of applications in the physical and life sciences. Most recently, he has been working on deep neural networks, specifically developing theoretical methods and practical diagnostic tools that should be helpful to practitioners who use deep learning.

Understanding Deep Neural Networks

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.

Becoming a Machine Learning Practitioner

O'Reilly Radar

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