The O'Reilly Media Podcast 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. The O'Reilly Media Podcast features interviews with the people working on the forefront of technology.

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Human Like Machines Live @ MLK Blankenburg 21.06.2008

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Human Like Machines Live @ MLK Blankenburg 21.06.2008

Human Like Machines - 20081225 - Rohtabak Doebeln 30 Jahre Recall8

More at http://philosophytalk.org/shows/spinoza

Baruch Spinoza was a 17th century Dutch philosopher who laid the foundations for the Enlightenment. He made the controversial claim that there is only one substance in the universe, which led him to the pantheistic belief in an abstract, impersonal God. What effect did Spinoza have on Enlightenment thinkers? What are the philosophical – and religious – consequences of believing that there is only one substance in the universe? And why do scientists today still take him seriously? John and Ken welcome back Rebecca Goldstein, author of "Betraying Spinoza: The Renegade Jew Who Gave Us Modernity."

Spinoza

Human Like Machines -live- @ Heimspiel Osterwieck 02.04.2016

Kullback Leibler divergence, or KL divergence, is a measure of information loss when you try to approximate one distribution with another distribution.  It comes to us originally from information theory, but today underpins other, more machine-learning-focused algorithms like t-SNE.  And boy oh boy can it be tough to explain.  But we're trying our hardest in this episode!

KL Divergence

In this podcast episode, I speak with Dave Cassel, technical community manager at MarkLogic, creator of a multi-model NoSQL database that aims to integrate data silos for a unified view. We talked about integration patterns for loading and exporting data at ease, an architecture that enables efficient search and queries, and layers of security that follow the data from its original source throughout its lifecycle.

Load, Search, and Secure Data in Multiple Formats

Researchers found that patients who responded well to immunotherapy had a more diverse mix of gut bacteria.

How The Microbiome Can Affect Cancer Treatments

Do you know somebody who is apprehensive in getting into data science because they think it's too complex?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/102

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 102: Intuition vs Mathematics in Data Science

In this episode of the O’Reilly Media Podcast, I spoke with Gayle Sheppard, vice president and general manager of Saffron AI Group at Intel, and David Thomas, chief analytics officer for Bank of New Zealand (BNZ). Our conversations centered around the utility of artificial intelligence in the financial services industry.

Associative Memory AI: Enabling Machines to Fight Financial Crime With Human-Like Reasoning

In this episode of the SuperDataScience Podcast, I chat with the the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or the Robotics Process Automation, talk what it’s all about, how it works, how business gets value from it and also how people can learn this and integrate to their career. You will learn the different RPA tools or the global tools that any business can use across any applications. Also, you will know the concept of Robots-for-Hire and how it is valuable for entrepreneurs.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/173

SDS 173: Understanding Robotics Process Automation (RPA) to Disrupt Your Business

In a recent episode of the O’Reilly Media Podcast, we spoke with George Miranda about the importance of service mesh technology in creating reliable distributed systems. As discussed in the new report The Service Mesh: Resilient Service-to-Service Communication for Cloud Applications, service mesh technology has emerged as a popular tool for companies looking to build cloud-native applications that are reliable and secure.

During the podcast, we discussed the problems a service mesh infrastructure solves and the service mesh features you’ll find most valuable. We also talked about how to choose the right service mesh for your organization, the challenges involved in getting it deployed to production, and the best ways for getting started with a service mesh.

How to Choose and Deploy a Service Mesh

In this episode of the O’Reilly Media Podcast, Rachel Roumeliotis, VP of content strategy at O’Reilly, sat down with Daniel Krook, IBM developer advocate. They discussed how developers across industries can participate in the Call for Code initiative, the benefits of the program, support from its charitable partners—United Nations Human Rights and the American Red Cross—and the positive impacts IBM hopes to achieve by investing in Call for Code.

Developers Worldwide Will Collaborate on Solutions to Save Lives in Call For Code

This episode of the O’Reilly Podcast, features a conversation on serverless and Kubernetes, with Kelsey Hightower, developer advocate for Google Cloud Platform at Google (and co-author of "Kubernetes: Up and Running"), and Chris Gaun, Kubernetes product marketing manager at Mesosphere.

Kelsey Hightower and Chris Gaun on Serverless and Kubernetes

Convex optimization is one of the keys to data science, both because some problems straight-up call for optimization solutions and because popular algorithms like a gradient descent solution to ordinary least squares are supported by optimization techniques. But there are all kinds of subtleties, starting with convex and non-convex functions, why gradient descent is really an optimization problem, and what that means for your average data scientist or statistician.

Convex (and non-convex) Optimization

At Google’s 2019 Cloud Next conference, I sat down with Stephen Thorne, site reliability engineer on Google’s customer reliability engineering team and co-author of "The Site Reliability Workbook," to talk about how organizations, both large and small, can use SRE to reduce operational costs, improve reliability, and create productive cross-functional teams.

How to Get Started With Site Reliability Engineering (SRE)

In this interview, Tim Craig and fellow Googler Gustavo Franco, a site reliability engineer (SRE), discuss the wide range of events that qualify as “incidents;” the need for a conscious, robust, and well-defined process for understanding them; the role of training; and how to get buy-in from management so you can spread incident response training throughout an organization.

Taming Chaos: Preparing for Your Next Incident

Human Like Machines @ Dragans Birthday, We Like It Hard, Panoptikum, Kassel, 12.03.12.
Mit freundlicher Genehmigung von Human Like Machines.

Human Like Machines @ Dragans Birthday - We Like It Hard Panoptikum Kassel 12.03.12

Human●Like●Maschines●,ײ٠·˙♬<<LiVE>>♬♬•٠·˙ ツ__@__Wetten●Bass●Kesselhaus●Singwitz 05 08 2010

Jon Bruner and Mike Loukides talk about the classical music publishing industry and how it's being disrupted by projects like the Petrucci Music Library (http://imslp.org/) that make public-domain scores available online.

The future of classical music

Jim Stogdill, Edd Dumbill and Roger Magoulas have a conversation about in-memory databases and the impact on real time analysis. Leave questions and comments for us at http://radar.oreilly.com/2013/05/talking-about-in-memory.html

Talking about in-memory

Jon Bruner, Mike Loukides and Jim Stogdill from O'Reilly Radar muse on the return of software to the physical world.

Software and the physical world

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about anthropology in big data, advances in JavaScript, searching for ancient civilizations, the importance of context, and good sites for checking the weather.

Related blog post: http://radar.oreilly.com/2013/06/radar-podcast-anthropology-big-data-and-the-importance-of-context.html

Anthropology, big data, and the importance of context

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about what's been on their minds this week: the NSA's surveillance programs, what defense contractors will do with their technology as defense budgets dry up, and a Californian who isn't doing what you think he's doing with hydroponics.

For more on these topics, and links to the things we talked about, see http://radar.oreilly.com/2013/06/radar-podcast-the-internet-of-things-prism-and-defense-technology-that-goes-civilian.html.

The Internet of Things, PRISM, and defense technology that goes civilian

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.