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

machine learning

superdatascience

data science

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

In this episode of the O’Reilly Data Show, I spoke with Mikio Braun, delivery lead and data scientist at Zalando. After spending previous years in academia, Braun recently made the decision to switch to industry. He shared some observations about building large-scale systems, particularly deploying data applications in production systems. Given his longstanding background as a machine learning researcher and practitioner, I wanted to get his take on topics like deep learning, hybrid systems, feature engineering, and AI applications.

Practical Machine Learning Techniques for Building Intelligent Applications

In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2

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

SDS 002 : Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data. They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services.

Understanding Predictive Analytics

This episode consists of excerpts from a recent talk I gave at a conference commemorating the end of the UC Berkeley AMPLab project. This section pertained to some recent trends in Data and AI. For a complete list of trends we’re watching in 2017, as well as regular doses of highly curated resources, subscribe to our Data and AI newsletters.

2017 Will Be the Year the Data Science and Big Data Community Engage With AI Technologies

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 this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

In this episode of the SuperDataScience Podcast, I chat with Head of Applied Machine Learning Ryan Compton. You will learn about how a Neural Network Filters NSFW images differently from humans, you will talk about the different applications of Neural Network Image Filters, discuss about why artificial intelligence is used in the world and how it is helping organizatons deliver better services; and you will also learn about the 2 Growth Areas in AI - the automation and pushing boundaries.

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/57

SDS 057: Building Image Datasets and Their Importance in Machine Learning

In this episode of the SuperDataScience Podcast, I chat with Data Science Speaker Daniel Whitenack. You will talk about Pachyderm and know what the company's mission is, discuss about Data Science Workflows and how it's becoming a growing area in data science, learn about the Go Programming Language, and also know the importance of mentorship and the role it plays in both mentees and mentors.

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/61

SDS 061: Discovering Data Science Workflows and The Importance of Mentorship

In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will discuss about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Algorithms, and also get valuable insights on how AI is changing the employment landscape. 

If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/67

SDS 067: Latest Developments in the Field of AI and How it is Changing the World

We all know about driverless cars, driverless cars get all the love and all the attention, because we don't want to drive. But we're going to talk in this segment about autonomous trucks, how and why we need autonomous trucks in many ways just as much as we need autonomous cars. To do that, we're talking to Xiaodi Hou the CTO and co-founder of TuSimple, a company that is bringing driverless trucks to the road.

Ep. 29: TuSimple's Xiaodi Hou Talks About Bringing Driverless Trucks to Highways

In this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways on how to leverage LinkedIn and get valuable tips on how to prepare and answer tough interview questions. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/77

SDS 077: Finding the Right Data Science Company That Best Fits You

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 067: Latest Developments in the Field of AI and How it is Changing the World

Super Data Science: ML & AI Podcast with Jon Krohn