Relevant book: a humans guide to machine intelligence: a history of machine learning applications 

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

My track for Techdics House Audio's "Let's Make Juice - Vol. 2" 

Check out the whole release here! It's a sweet blend of juicy beats from around the world:

http://www.beatport.com/release/lets-make-juice-vol-2/1124521

Anxiety - Original Mix

Are you interested in be mentored & held accountable by Allyse Sedivy

Explanation of the Mentoring Program

An undercover ATF agent is going full throttle on a highway to hell as he tries to infiltrate the most notorious motorcycle club on the planet.

This story contains police violence, descriptions of violence, and graphic imagery. Sensitive listeners, please be advised.

BIG thanks to Jay Dobyns for sharing his story with Snap. There is so much that we were not able to share with you about Jay’s experience. To find out more check out his memoirs “No Angel” and “Catching Hell.”

Special thanks to George Christie.

The Hells Angels Motorcycle Club did not respond to requests for comment on this story.

Produced by Bo Walsh, original score by Dirk Schwarzhoff, artwork by Teo Ducot

Season 13 – Episode 34

No Angel

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

<ul> 
<li>Apple is just three weeks away from showing off the iPhone 14.</li> 
<li>Apple workers launch petition over company's reported return-to-office plan.</li> 
<li>Apple's new iPad multitasking system doesn't cut it</li> 
<li>Apple releases iOS, iPadOS and macOS security fixes for two zero-days under active attack.</li> 
<li>Tim Cook, Jony Ive, and Laurene Powell Jobs to speak at Code 2022 conference next month.</li> 
<li>iOS VPNs have leaked traffic for years, researcher claims.</li> 
<li>M2 MacBook Air runs Windows 11 faster than pricier Dell laptop.</li> 
<li>Former Apple engineer accused of stealing automotive trade secrets pleads guilty.</li> 
<li>John Foster: In memoriam.</li> 
<li>10 million watched 'House of Dragon,' HBO says.</li> 
<li>Apple fails in bid for Big Ten Conference streaming package.</li> 
<li>Apple brings Self-Service Repair to the Mac.</li> 
<li>Jason found a funny bug in macOS beta.</li></ul> 
Picks of the Week<ul> 
<li>Alex's Pick: Stellar X2</li> 
<li>Andy's Pick: Anker Nano II 65W GaN Charger</li> 
<li>Jason's Pick: One Thing &amp; Shortery</li></ul> 
Hosts: <a href="https://twit.tv/people/leo-laporte">Leo Laporte</a>, <a href="https://twit.tv/people/alex-lindsay">Alex Lindsay</a>, <a href="https://twit.tv/people/andy-ihnatko">Andy Ihnatko</a>, and <a href="https://twit.tv/people/jason-snell">Jason Snell</a> 
Download or subscribe to this show at <a href="https://twit.tv/shows/macbreak-weekly">https://twit.tv/shows/macbreak-weekly</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://zocdoc.com/macbreak" target="_blank" rel="sponsored">zocdoc.com/macbreak</a></li>
<li><a href="http://eightsleep.com/macbreak" target="_blank" rel="sponsored">eightsleep.com/macbreak</a></li>
<li><a href="http://newrelic.com/macbreak" target="_blank" rel="sponsored">newrelic.com/macbreak</a></li>
</ul>

MacBreak Weekly 832: A Fine Patina

A tiny radio show about design, architecture & the 99% invisible activity that shapes our world.

99% Invisible-01- 99% Noise

Invité à poser sa cabine aux Rencontres du cinéma documentaire de Montreuil sur le thème "Féminin-Masculin", le Studiomobile a ouvert ses micros aux clichés érotiques, aux souvenirs culottés, aux zizis de tous âges et aux féministes de tous genres. Un florilège de questions de genres, dix minutes pour se mettre d'accord à la fin : qui fera le ménage ?
Enregistrements : 16 septembre, 8 et 9 octobre 16 - Studiomobile : 
Cécile Kojima, Claire Richard, Kaveh Kishipour, Marie-Anne Bernard - 
Montage : Jeanne Robet - Mixage : Charlie Marcelet

Tous les garçons et les filles

In this episode of the Data Show, I spoke with Kartik Hosanagar, professor of technology and digital business, and professor of marketing at The Wharton School of the University of Pennsylvania.  Hosanagar is also the author of a newly released book, "A Human’s Guide to Machine Intelligence," an interesting tour through the recent evolution of AI applications, which draws from his extensive experience at the intersection of business and technology.

Algorithms Are Shaping Our Lives—Here's How We Wrest Back Control

Scientist.

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

Fans and journalists embark on a seven-show tour with Rihanna... in seven countries, over seven days, on a Boeing 777, to celebrate her seventh album in seven years. Did we mention this happened seven years ago?

Fasten your seat belts, it’s time for liftoff... 

Special thanks to Kristen Gwynne, Lawrence Bull, and Elizabeth Nakano.

Produced by John Fecile, original score by Renzo Gorrio

#rihannaplane

Snap Judgment

Diamonds in the Sky

A circle forms around two lads
Circle of boys 
Circle of boys
There's gonna be a fight in the playground
Sleeves rolled up
Socks pulled down
Blood flows from one kids nose
But the older boys want more
They want strips torn from uniforms
It's a test of strength
Two boys rolling around in the dust
In the dust...
Embrace

And when a boy grows up he's still the same
He's still the same
But he's a man
And a man is physical
And a man has to put his physical
Body to the test
Body to the test
Against another man
Do you measure up?
Or do ya still have work to do?
Still have work to do...
Embrace

It's hard to trust somebody
It's hard to believe in love
How do you measure love?
But you can trust your body
Push / rip / taste / touch / work your body
And if you work that body
Don't need to trust nobody
Pull the trigger
Run the race
Beat the man
Chase the clock
Aware to God
That's His that was
Throw the spear
Take the glory
Embrace

A man can meet another man
In a bar
On the sportsfield
At his place of work
Or in his own apartment
Or on the internet right now

So Turn / Face / Connect
Embrace

You gotta prove yourself
Understand yourself
Show your strength
Embrace

Now Flex
Look your best
Eye to eye
Embrace

Turn / Face
Man & Woman
Embrace

Embrace, come on 
Embrace, come on
Embrace

The body is real

You gotta love one another


Embracism

Kirin J Callinan - Embracism

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.

Algorithms Are Shaping Our Lives—Here's How We Wrest Back Control

O'Reilly Radar

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