it is playlist about machine learning and artificial intelligence. 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

artificial intelligence

The O'Reilly Security Podcast examines the challenges and opportunities for security practitioners, with a focus on the people on the frontlines of security, working to build better defenses.

O'Reilly Security Podcast

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AI & ML

With the rise of mobile phones equipped with GPS, we're meeting many more data scientists at start-ups and large companies who specialize in spatio-temporal pattern recognition. Analyzing “moving dots” requires specialized tools and techniques. A few months ago, I sat down with Rajiv Maheswaran founder and CEO of Second Spectrum, a company that applies analytics to sports tracking data. Maheswaran talks about the tools and techniques required to analyze new kinds of sports data.

For more on our interview, visit O'Reilly Radar: http://oreil.ly/1t7EcOQ

The science of moving dots

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

O'Reilly Ben Lorica chats with Ion Stoica, UC Berkeley Professor and Databricks CEO, about the rise of Apache Spark and Apache Mesos.

Apache Spark's Journey From Academia To Industry

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

It can take dozens of back-and-forth emails just to set up a quick meeting. Now, an artificial intelligence personal assistant can do it for you. Dennis Mortensen, CEO of x.ai, explains why you shouldn’t be afraid.

Goodbye to Personal Assistants

In science-fiction, you’ll encounter a lot of computers that can feel... HAL 9000, Deckard, WALL-E. But what about computers that can really sense your emotions? MIT Professor Rosalind Picard takes a look at this artificial-feeling future.

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Computers that Know You're Mad

What is A.I. or artificial intelligence but the 'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London.

In this special episode of the a16z Podcast brought to you on the ground from London, Shanahan -- along with journalist-turned-entrepreneur Azeem Azhar (who also curates The Exponential View newsletter on AI and more) and The Economist Deputy Editor Tom Standage (the author of several tech history books) -- we discuss the past, present, and future of A.I. ... as well as how it fits (or doesn't fit) with machine learning and deep learning.

But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.

a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds'

In this special episode of the Security Podcast, O’Reilly’s Ben Lorica talks with Parvez Ahammad, who leads the data science and machine learning efforts at Instart Logic. He has applied machine learning in a variety of domains, most recently to computational neuroscience and security. Lorica and Ahammad discuss the challenges of using machine learning in information security.

Parvez Ahammad on Applying Machine Learning to Security

In an era where fake news is fashionable, data can help distinguish the facts from the fiction. But how do you interrogate a spreadsheet and hold the data to account? And how can journalists use data to find stories? 

The BBC has placed the "interrogation of data" at the heart of its annual plan for 2017/18 and subsequent three-year strategy. Around 12 new staff are being recruited, including data journalists, data scientists, developers, designers, a cartographer, and a first head of statistics who will start in August 2017. 

Data is clearly becoming an increasingly important storytelling tool. But is data journalism new? And is it a specialist skill or can anyone do it? 

In this podcast you will learn:

- the skills you need to be a data journalist
- what makes a good data story
- if you need to know how to code or be good at maths to create stories
- how 'scripting' can be useful when working with data
- how long it takes to learn the spreadsheet skills you need to work on data stories 
- how quickly you can go from idea to publication

"I really hope that sometime in the future we drop the term 'data journalism' because it's just journalism." – Helena Bengtsson

Presenter Daniel Wainwright of the BBC England Data Unit is joined by BBC data journalism editor John Walton, Guardian data projects team editor Helena Bengtsson and Paul Bradshaw who leads the new MA in Data Journalism at Birmingham City University.

Find out more about BBC Academy:
Website – www.bbc.co.uk/academy 
Facebook – www.facebook.com/bbcacademy  
Twitter – www.twitter.com/bbcacademy

Data journalism: More important than ever?

In this episode of the Security Podcast, I talk with Andrea Limbago, chief social scientist at Endgame. We discuss how the misperception of security as a computer science skillset ultimately restricts innovation, the need to make security easier and accessible for everyone, and how current branding of security can discourage newcomers.

Andrea Limbago on the Effects of Security's Branding Problem

In this episode of the Security Podcast, I talk with Charles Givre, senior lead data scientist at Orbital Insight. We discuss how data science skills are increasingly important for security professionals, the critical role of data scientists in making the results of their work accessible to even nontechnical stakeholders, and using machine learning as a dynamic filter for vast amounts of data.

Charles Givre on the Impetus for Training All Security Teams in Basic Data Science

Speaker(s): Steve Crawshaw | Editor's note: We apologise for the poor audio quality of this podcast. How do ordinary citizens become dissidents? As journalist and human rights advocate, Steve Crawshaw has witnessed extraordinary change, everywhere from Prague to Yangon.  He explores what Vaclav Havel called the “power of the powerless”, and the role of creative mischief in achieving surprising change. Steve Crawshaw (@stevecrawshaw) is Senior Advocacy Adviser on Global Thematic Issues, Amnesty International and author of Street Spirit: The Power of Protest and Mischief. Dr Liene Ozoliņa-Fitzgerald is a political sociologist at LSE. She is a co-convener of the Department of Sociology Writing Group for faculty and PhD students. The Ralph Miliband Programme (@RMilibandLSE) is one of LSE's most prestigious lecture series and seeks to advance Ralph Miliband's spirit of free social inquiry.

Does Protest Really Work? [Audio]

In this episode of the Security Podcast, O’Reilly’s Mac Slocum talks with Susan Sons, senior systems analyst for the Center for Applied Cybersecurity Research (CACR) at Indiana University. They discuss how she initially got involved with fixing the open source Network Time Protocol (NTP) project, recruiting and training new people to help maintain open source projects like NTP, and how security needn’t be an impediment to organizations moving quickly.

Susan Sons on Building Security from First Principles

In this episode of the Security Podcast, I talk with Christie Terrill, partner at Bishop Fox. We discuss the importance of educating businesses on the complexities of “being secure,” how to approach building a strong security program, and aligning security goals with the larger processes and goals of the business.

Christie Terrill on Building a High-Caliber Security Program in 90 Days

In this episode of the Security Podcast, I talk with Rich Smith, director of labs at Duo Labs, the research arm of Duo Security. We discuss the goals of agile application security, how to reframe success for security teams, and the short- and long-term implications of your security culture.

Rich Smith on Redefining Success for Security Teams and Managing Security Culture

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.