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

The O’Reilly Programming podcast features conversations that give developers, engineers, and architects tips on getting projects done better and faster.

O'Reilly Programming Podcast

Machine Learning

programming

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 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

In this episode of the Data Show, I spoke with Aurélien Géron, a serial entrepreneur, data scientist, and author of a popular, new book entitled "Hands-on Machine Learning with Scikit-Learn and TensorFlow." Géron’s book is aimed at software engineers who want to learn machine learning and start deploying machine learning models in real-world products.

Becoming a Machine Learning Engineer

In recent years hedge funds have taken the lead in algorithmic investing - or robo-trading as it’s sometimes called. But there’s no reason the hedge fund world should have all the good stuff. In this episode of the AI Podcast, we speak with Gaurav Chakravorty, co-founder of qplum, a startup that’s working to bring that same machine learning investing approach to the rest of us.

Ep. 26: Deep Learning Promises to Bring Algorithmic Investing Smarts to the Rest of Us

In this episode of the O’Reilly Programming Podcast, I talk serverless architecture with Mike Roberts, engineering leader and co-founder of Symphonia, a serverless and cloud architecture consultancy. Roberts will give two presentations—Serverless Architectures: What, Why, Why Not, and Where Next? and Designing Serverless AWS Applications—at the O’Reilly Software Architecture Conference, October 16-19, 2017, in London.

Mike Roberts on Serverless Architectures

In this episode of the Data Show, I spoke with Ken Stanley, founding member of Uber AI Labs and associate professor at the University of Central Florida. Stanley is an AI researcher and a leading pioneer in the field of neuroevolution—a method for evolving and learning neural networks through evolutionary algorithms. In a recent survey article, Stanley went through the history of neuroevolution and listed recent developments, including its applications to reinforcement learning problems.

Effective Mechanisms for Searching the Space of Machine Learning Algorithms

In this episode of the Data Show, we look back to a recent conversation I had at the Spark Summit in San Francisco with Ion Stoica (UC Berkeley professor and executive chairman of Databricks) and Matei Zaharia (assistant professor at Stanford and chief technologist of Databricks). Stoica and Zaharia were core members of UC Berkeley’s AMPLab, which originated Apache Spark, Apache Mesos, and Alluxio.

The State Of Machine Learning In Apache Spark

In this episode of the O’Reilly Programming Podcast, I talk with Katharine Jarmul, a Python developer and data analyst whose company, Kjamistan, provides consulting and training on topics surrounding machine learning, natural language processing, and data testing. Jarmul is the co-author (along with Jacqueline Kazil) of the O’Reilly book "Data Wrangling with Python," and she has presented the live online training course "Practical Data Cleaning with Python."

Katharine Jarmul on Using Python for Data Analysis

In this episode of the O’Reilly Programming Podcast, we revisit our June 2017 conversation with Sam Newman, presenter of the O’Reilly video course The Principles of Microservices and the online training course From Monolith to Microservices. He is also the author of the book Building Microservices: Designing Fine-Grained Systems.

Sam Newman on Building Microservices

In this episode of the O’Reilly Programming Podcast, I talk with Paul Bakker, senior software engineer on the edge developer experience team at Netflix, and Sander Mak, a fellow at Luminis Technologies. They are the authors of the O’Reilly book "Java 9 Modularity," in which they call the introduction of the module system to the platform “the start of a new era.”

Paul Bakker and Sander Mak on Java 9 Modularity

In this episode of the O’Reilly Programming Podcast, I talk with Richard Warburton and Raoul-Gabriel Urma of Iteratr Learning. They are the presenters of a series of O’Reilly Learning Paths, including "Getting Started with Reactive Programming" and "Build Reactive Applications in Java 8." Warburton is the author of "Java 8 Lambdas," and Urma is the author of "Java 8 in Action."

Richard Warburton and Raoul-Gabriel Urma on Java 8 and Reactive Programming

In this episode of the O’Reilly Programming Podcast, I talk about Jenkins 2 and Git with Brent Laster, who presents a number of live online training courses on these topics (including "Building a deployment pipeline with Jenkins 2," and "Next level Git"). Laster will also present the workshop "Power Git" at the O’Reilly Open Source Convention, July 16-19, 2018, in Portland, Oregon, and he is the author of the forthcoming O’Reilly book "Jenkins 2: Up and Running."

Brent Laster on Jenkins 2 and Git

In this episode of the O’Reilly Programming Podcast, I talk about Kubernetes, containers, and more with Bridget Kromhout, a principal cloud developer advocate at Microsoft, and a frequent speaker at tech conferences. She will be leading the workshop "Kubernetes 101" at the O’Reilly Velocity Conference in San Jose, June 11-14, 2018, and at the O’Reilly Open Source Convention (OSCON), July 16-19, 2018.

Bridget Kromhout on Kubernetes

In this episode of the O’Reilly Programming Podcast, I talk with two of the program chairs for the upcoming O’Reilly Fluent Conference (July 11-14 in San Jose), Kyle Simpson and Tammy Everts. Simpson is co-author of the "HTML 5 Cookbook," and the author of the "You Don’t Know JS" series of books. Everts is the chief experience officer at SpeedCurve and the author of "Time is Money: The Business Value of Web Performance."

Kyle Simpson and Tammy Everts on the Challenges of the Modern Web

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.

Katharine Jarmul on Using Python for Data Analysis

O'Reilly Radar