The O'Reilly Design Podcast explores how experience design -- and experience designers -- are shaping business, the Internet of Things, and other domains.

O'Reilly Design Podcast

it is playlist about data science. I'm putting here all podcast in english in related topic. If you know something that should be here please drop me a message with link. And follow me on twitter: @hyzhak_en

data science

ML, Data, Geo

Design Commute

O'Reilly's Mary Treseler sits down with Bob Baxley, who is keynoting at OReilly’s inaugural Design Conference. He compares cultures at Apple and Pinterest, talks about competition in the design playing field, and addresses the designer shortage.

Bob Baxley on Apple And Pinterest, Company Cultures, and the Designer Shortage

In this week’s Design Podcast, I sit down with Jim Kalbach, designer, instructor, and author of Mapping Experiences. We talk about the relationship between design and design thinking, how to get started with mapping experiences, and the notion of shared value as a strategic competitive advantage.

Jim Kalbach on Mapping Experiences

In this week’s Design Podcast, I sit down with Tom Greever, UX director at Bitovi and author of Articulating Design Decisions. We talk about how to effectively explain your design decisions, avoiding the CEO button, and how saying 'yes' is a facilitation superpower.

Tom Greever on Articulating Design Decisions

What does it take to build a data-driven culture? In this O’Reilly Podcast episode, I pose that question to Ashish Thusoo, founder of Qubole. With his co-founder Joydeep Sen Sarma, Thusoo built a self-service data infrastructure at Facebook beginning in 2007. That infrastructure transformed Facebook’s culture and became part of practically every product decision that the company made.

Building a Data-Driven Culture

In this week’s Design Podcast, I sit down with Danielle Malik, designer, owner, and mentor at Design Equation. We talk about mentoring the next generation of designers, what she is learning from recent design grads, and the role fear can play in our work.

Danielle Malik on Mentoring the Next Generation of Designers

In this episode I spoke with Michael Franklin, co-director of UC Berkeley’s AMPLab and chair of the Department of Computer Science at the University of Chicago. AMPLab is well-known in the data community for having originated Apache Spark, Alluxio (formerly Tachyon) and many other open source tools. Today marks the start of a two-day symposium commemorating the end of AMPLab, and we took the opportunity to reflect on its impressive accomplishments.

Building the Next-Generation Big Data Analytics Stack

In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn about how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/13

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

SDS 013 : 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle

In this episode, I sit down with Brad Knox, founder and CEO of Emoters, a startup building a product called bots_alive—animal-like robots that have a strong illusion of life. We chat about the approach the company is taking, why robots or agents that pass themselves off as human without any transparency should be illegal, and some challenges and applications of reinforcement learning and interactive machine learning.

Brad Knox on Creating a Strong Illusion of Life

In this episode I spoke with Ion Stoica, cofounder and chairman of Databricks. Stoica is also a professor of computer science at UC Berkeley, where he serves as director of the new RISE Lab (the successor to AMPLab). Fresh off the incredible success of AMPLab, RISE seeks to build tools and platforms that enable sophisticated real-time applications on live data, while maintaining strong security. As Stoica points out, users will increasingly expect security guarantees on systems that rely on online machine learning algorithms that make use of personal or proprietary data.

Data is Only as Valuable as the Decisions it Enables

This week we're featuring a conversation from earlier this year—O'Reilly's Mary Treseler chats with Giles Colborne, managing director of cxpartners. They talk about the transformative effects of AI on design, designing for natural language interactions, and why designers need to nurture the ability to reinvent themselves.

Giles Colborne on AI's Move From Academic Curiosity to Mainstream Tech

On this week's episode of the Radar Podcast, O'Reilly's Mac Slocum chats with award-winning author Pagan Kennedy about the art and science of serendipity—how people find, invent, and see opportunities nobody else sees, and why serendipity is actually a skill rather than just dumb luck.

Pagan Kennedy on How People Find, Invent, and See Opportunities Nobody Else Sees

This week, I sit down with David Beyer, an investor with Amplify Partners. We talk about machine learning and artificial intelligence, the challenges he’s seeing in AI adoption, and what he thinks is missing from the AI conversation.

AI Adoption at the Atomic Level of Jobs and Work

In this week’s Design Podcast, I sit down with David Farkas, associate director of user experience at EPAM and co-author of the forthcoming book "UX Research." We talk about his book, why everyone should learn to conduct research, and how to open up your mind to ask the right questions.

Farkas and his co-author Brad Nunnally also are teaching a series of online courses:

Learning UX Research: Understanding Methods and Techniques—May 8 or July 10, 2017.
Learning UX Research: Analyzing Data and Sharing Results—May 22 or July 24, 2017.

David Farkas on How to Approach User Research

In this episode of the Data Show, I spoke with Reza Zadeh, adjunct professor at Stanford University, co-organizer of ScaledML, and co-founder of Matroid, a startup focused on commercial applications of deep learning and computer vision. Zadeh also is the co-author of the forthcoming book TensorFlow for Deep Learning (now in early release). Our conversation took place on the eve of the recent ScaledML conference, and much of our conversation was focused on practical and real-world strategies for scaling machine learning. In particular, we spoke about the rise of deep learning, hardware/software interfaces for machine learning, and the many commercial applications of computer vision.

Scaling Machine Learning

This week, I sit down with Travis Lowdermilk senior UX designer at Microsoft, and Jessica Rich, UX researcher at Microsoft; Lowdermilk and Rich are also co-authors of the "Customer Driven Playbook." We talk about why failing fast is not always a good approach, sensemaking, and never losing track of the customer’s voice.

Travis Lowdermilk and Jessica Rich on Building a Customer-Driven Culture at Microsoft

This week, I sit down with Cynthia Savard Saucier, director of design at Shopify and author of Tragic Design. Saucier also is keynoting at Velocity in New York, October 1-4, 2017. We talk about moving from working in design to leading designers, the real and sometimes negative impact that design decisions can have on users, and how design is organized at Shopify.

Cynthia Savard Saucier on Design at Shopify

In this week’s Design Podcast, I sit down with Cheryl Platz, senior designer at Microsoft for the Azure Portal and Marketplaces. We talk about the challenges of working on a top-secret design project, the research behind Amazon's Echo Look, the skills you need to start designing for voice, and how studying improv can make you a better designer.

Cheryl Platz on Designing the Amazon Echo Look

In this week’s Design Podcast, I sit down with John Whalen, chief experience officer at 10 Pearls, a digital development company focused on mobile and web apps, enterprise solutions, cyber security, big data, IoT,  and cloud and dev ops. We talk about the “six minds” that underlie each human experience, why it’s important for designers to understand brain science, and what people really look for in a voice assistant.

John Whalen on Using Brain Science in Design

In this week’s Design Podcast, I sit down with Julie Stanford, founder and principal of user experience agency Sliced Bread Design. We talk about how to get in the rapid experimentation mindset, the design thinking process, and how to get started with rapid experimentation at your company. Hint: start small.

Julie Stanford on Vetting Designs Through Rapid Experimentation

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.

David Farkas on How to Approach User Research

O'Reilly Radar