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

superdatascience

data science

SuperDataScience

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 session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

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

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

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

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

In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3

SDS 003 : Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

In this session of the Super Data Science Podcast, I chat with business strategy expert Brendan Hogan. You will learn how he uses Data to alter strategy of businesses, you will learn about the three pillars of research and how to build a successful career from your strengths.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/4

SDS 004 : Data and Strategy, Three Pillars of Research and Building your Career with Brendan Hogan

In this session of the Super Data Science Podcast, I chat with Forensics Investigator Dmitry Korneev. You will learn about Computer Forensics, what Fraud Analytics actually is and we will discuss how to know when to take a break from work.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/5

SDS 005 : Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev

In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6

SDS 006 : Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu

In this session of the Super Data Science Podcast, I chat with Senior Data Scientist Yaw Tan. You will learn about model validation and a lot more about modelling,  get to know about the power of data exhaust and hear some thoughts about cultural change in organisations.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/10

SDS 010 : Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan

In this episode of the SuperDataScience Podcast, I chat with Senior Vice President of Risk Management, Greg Poppe. You will get to know about credit scoring models, learn the law of large numbers and get more insights on model building. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/14

SDS 014 : Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe

In this episode of the SuperDataScience Podcast, I chat with Director at PricewaterhouseCoopers Richard Hopkins. You will know how data drives business operations, learn about bottom-up and top-down consulting approaches and get insights about mentoring.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/16

SDS 016 : Data-Driven Operations, Consulting Approaches, and Mentoring with Richard Hopkins

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 014 : Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe

Super Data Science: ML & AI Podcast with Jon Krohn