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

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Data Science

SuperDataScience-PodCasts

SuperDataScience3

Data Scientist

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 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 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

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 session of the Super Data Science Podcast, I chat with Neuroscience PhD Turned Retail Data Analyst Muhsin Karim. You will know what is neuroscience,  learn more about machine learning and discover some surprising implications from Moore’s Law.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/9

SDS 009 : Neuroscience, Machine Learning and Moore’s Law with Muhsin Karim, Phd

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

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 Outliers, Naval Ravikant of AngelList talks about philosophical life lessons based on his own entrepreneurial journey and his observation of several founders and investors over the years.

*This podcast was recorded over the phone, hence the audio might sound a bit feeble and low. Sorry for this.

Produced by Anand Murali

Music Credit: www.accelerated-ideas.com/

Outliers Season 01

Naval Ravikant - A monk in the Valley, tells us he's ruthless about time

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 Data Visualisation Designer, Nadieh Bremer. You will discuss the relationship between algorithm and visualization, know the top data visualization tips, and learn the ways of creating presentable visualizations and how to present them.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/81

SDS 081: Data Visualization & How to Freelance Your Passion

The robots that have taken on tasks in the real world - which is to say the world where physics apply - are primarily programmed to do a specific job, such as welding a joint in a car or sweeping up cat hair. So what if robots could learn, and take it a step further - what if they could teach themselves, and pass on their knowledge to other robots? Where could that take machines, and the notion of machine intelligence? And how fast could we get there? Those are the questions our guest Sergey Levine,  an assistant professor at UC Berkeley's department of Electrical Engineering and Computer Sciences, is finding answers to.

Ep. 37: Sergey Levine on How Deep Learning Will Unleash a Robotics Revolution

In this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will discuss what a data-driven corporate culture look like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and also know how she is helping businesses now to make strategic data driven decisions.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/83

SDS 083: Leveraging Your Experience into Data Science

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 SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will discuss about the future of AI & what the world of future could look like, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/85

SDS 085: The AI Revolution – What the Future Will Look Like

In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, know more insights about choosing what to learn in Data Science, and discuss about the modelling luck in a baseball hitter's batting average. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/89

SDS 089: Using Excel in Data Science and Life-Long Learning

In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will talk about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and also know about when your years of experience do not match a job description. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/101

SDS 101: What a Data Science Headhunter is Looking For

In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will talk about creating a massive value with Tableau and Excel, know how to get established as a data science consultant, and also learn how Emanuele went from novice to pro in just one year.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/103

SDS 103: Why this Is the Golden Age of Data Science & How to Get In

What board game will you choose to get for yourself or as a present for someone else?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/104

SDS 104: Board Games

In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where all were able to submit their questions through Twitter using a special hashtag. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/105

SDS 105: DataScienceGO’s Discussion Panel on Careers

Do you want to get a memory of this event and access all the sessions of the speakers?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/106

SDS 106: Recap of our DataScienceGO 2017 Conference

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi . You will talk about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to discuss and know more about Text analytics. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/107

SDS 107: Charting a Career in Energy Analytics

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 083: Leveraging Your Experience into Data Science

Super Data Science: ML & AI Podcast with Jon Krohn