Best Data Science podcasts (Updated July 2018; image)
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Partially Derivative
Monthly+
 
The data of the world around us, hosted by data science super geeks. For the nerdy and nerd curious.
 
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Data Skeptic
Weekly
 
Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.
 
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Linear Digressions
Weekly
 
Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.
 
Big data and data science interviews, insight, and analysis.
 
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Storage Unpacked
Weekly
 
A weekly podcast on deploying and managing enterprise storage and data
 
Not So Standard Deviations: The Data Science Podcast Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry. Co-hosts: Roger Peng of the Johns Hopkins Bloomberg School of Public Health and Hilary Parker of Stitch Fix.
 
Every two weeks, we air an interview with a data scientist or someone on their way to becoming a data scientist, to learn about their path to get to where they are today. We also discuss a data science learning activity for the Becoming a Data Scientist Learning Club.Topic tags: data science, data analysis, databases, careers, education, learning, technology, python, R, computer programming, statistics, business, machine learning
 
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Data Stories
Monthly
 
A podcast on data and how it affects our lives — with Enrico Bertini and Moritz Stefaner
 
Brought to you by IBM, Analytics Insights Podcasts provides the latest thinking on analytics and the implications for the enterprise from a range of experts.
 
Whether you like it or not, your world is shaped by data. We explore how it impacts people, society, and llamas perched high on Peruvian mountain peaks—through interviews, inquest, and inference. We talk to interesting people doing intriguing things with data, artificial intelligence, machine learning, data science, and all things revolving around them.
 
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SuperDataScience
Weekly+
 
Kirill Eremenko is a Data Science coach and lifestyle entrepreneur. The goal of the Super Data Science podcast is to bring you the most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big Data, visualization, predictive modeling, forecasting, analysis, business processes ...
 
Machine learning and data science episodes of Software Engineering Daily.
 
Data Science Storytime is a podcast all about data, science, stories, and time.
 
Technology, machine learning and algorithms
 
In this podcast, I discuss a variety of SQL Server related topics mixed with a sprinkling of professional development and I talk with some of the biggest names in the industry. I want to introduce new and familiar topics and talk about them in a way you may have not considered. We are all on different stages as data professionals. I hope you will join me and Steve on the SQL trail compañeros--you won't regret it.
 
@akm and @joelgrus talk about data, science, data science, Dave Shing, and whatever else we feel like
 
Business Intelligence is a significant part of the IT industry but it is poorly understood by many. BI systems are fundamentally different to other IT systems in terms of users, their use of the system and the development processes required. This podcast is a recording of lectures and other material from Monash University's postgraduate unit on the topic covering both BI application design as well as data warehouse design.
 
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Data & Society
Rare
 
Presentations, talks and interviews from Data & Society
 
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Data Stories
Monthly
 
A podcast on data and how it affects our lives — with Enrico Bertini and Moritz Stefaner
 
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GovEx Data Points
Monthly
 
A podcast about government and data. Telling stories from practitioners and academics about how data affects communities and the lives of residents.
 
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show series
 
When you're using an AB test to understand the effect of a treatment, there are a lot of assumptions about how the treatment (and control, for that matter) get applied. For example, it's easy to think that everyone who was assigned to the treatment arm actually gets the treatment, everyone in the control arm doesn't, and that the two groups get ...…
 
How does fake news get spread online? Its not just a matter of manipulating search algorithms. The social platforms for sharing play a major role in the distribution of fake news. But how significant of an impact can there be? How significantly can bots influence the spread of fake news? In this episode, Kyle interviews Filippo Menczer, Profess ...…
 
Have you ever tried conveying facts to anyone through telling it as a story? How did it work?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/176
 
This week, Chris Mellor is back and the team take a dive into the subject of storage vendor hero numbers. What are hero numbers? We’ve all seen them, they’re the huge performance figures quoted by all-flash storage vendors aimed at putting their products forward in the best light possible. Are hero numbers believable or should we be looking at ...…
 
@BillFranksGA on The Ingredients of Successful Analytics Ecosystem #FutureOfData #PodcastIn this podcast @BillFranksGA talks about ingredients of successful analytics ecosystem. He shared his analytics journey, his perspective on how other businesses are engaging in data analytics practice. He also sheds some light on best practices that busine ...…
 
The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture. In this episode of the Data Show, I spoke with Andrew Feldman, founder and CEO of Cerebras Systems, a startup in the blossoming area of specialized hardware for machine learning. Since the release of AlexNet in 2012, we have se ...…
 
In this episode I explain the differences between L1 and L2 regularization that you can find in function minimization in basically any machine learning model.
 
“Bots” are becoming increasingly relevant to our everyday interactions with technology. A bot sometimes mediates the interactions of two people. Examples of bots include automated reply systems, intelligent chat bots, classification systems, and prediction machines. These systems are often powered by machine learning systems that are black boxe ...…
 
In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will talk about the recent advancements in Data Science, know how Reinforcement Learning can greatly improve the AI capabilities and discuss the noticeable growing trend of automation in the field of data science.If ...…
 
Download: MP3 Audio35 MB MPEG-4 AAC Audio28 MB [If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!] Most often in data visualization we depend on traditional charts, but occasionally we stumble onto something new, maybe even somet ...…
 
Download: MP3 Audio35 MB MPEG-4 AAC Audio28 MB [If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!] Most often in data visualization we depend on traditional charts, but occasionally we stumble onto something new, maybe even somet ...…
 
In the second part of this episode I am interviewing Johannes Castner from CollectiWise, a platform for collective intelligence. I am moving the conversation towards the more practical aspects of the project, asking about the centralised AGI and blockchain components that are essential part of the platform. References Opencog.org Thaler, Richar ...…
 
Artificial Intelligence has been widely lauded as a solution to almost any problem. But as we justapose the hype in the field against the real-world benefits we see, it raises the question: Are we coming up on an AI winterBy hello@lineardigressions.com (Ben Jaffe and Katie Malone).
 
This episode kicks off our new theme of "Fake News" with guests Robert Sheaffer and Brad Schwartz. Fake news is a new label for an old idea. For our purposes, we will define fake news information created to deliberately mislead while masquerading as a legitimate, journalistic source of truth. It's become a modern topic of discussion as our cult ...…
 
When was the last time that you disconnect to technologies?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/174
 
What is computational storage and how do we manage storage on the edge of the network? This week’s conversation is a discussion on how storage and data is managed within IoT devices and partially covers the new segment of computational storage. Martin and Chris talk to Scott Shadley, VP of Marketing for NGD Systems. Edge storage means more than ...…
 
Machine learning models allow our applications to perform highly accurate inferences. A model can be used to classify a picture as a cat, or to predict what movie I might want to watch. But before a machine learning model can be used to make these inferences, the model must be trained and deployed. In the training process, a machine learning mo ...…
 
Emergence of #DataOps Age - @AndyPalmer #FutureOfDataYoutube: https://youtu.be/u6CtN-TYjXIiTunes: http://apple.co/2zMLByTIn this podcast @AndyPalmer from @Tamr sat with @Vishaltx from @AnalyticsWeek to talk about the emergence / need / market for Data Ops, a specialized capability emerging from merging data engineering and dev ops ecosystem due ...…
 
This is the first part of the amazing episode with Johannes Castner, CEO and founder of CollectiWise. Johannes is finishing his PhD in Sustainable Development from Columbia University in New York City, and he is building a platform for collective intelligence. Today we talk about artificial general intelligence and wisdom. All references and sh ...…
 
In this episode of the SuperDataScience Podcast, I chat with the the founders of Cigen, Leigh and Daniel Pullen. You will listen to an overview of RPA or the Robotics Process Automation, talk what it’s all about, how it works, how business gets value from it and also how people can learn this and integrate to their career. You will learn the di ...…
 
We revisit the 2018 Microsoft Build in this episode, focusing on the latest ideas in DevOps. Kyle interviews Cloud Developer Advocates Damien Brady, Paige Bailey, and Donovan Brown to talk about DevOps and data science and databases. For a data scientist, what does it even mean to “build”? Packaging and deployment are things that a data scienti ...…
 
In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the world of data science.…
 
Matthew L. Jones speaks about key illiteracies surrounding metadata, the hacking of our court system, and the possibility of ethics at scale. Jones is a 2017-2018 Data & Society Fellow who studies the history of science and technology, with a focus on early modern Europe and on recent information technologies. He is completing a book on computi ...…
 
Predicting the weather is one of the most challenging tasks in machine learning due to the fact that physical phenomena are dynamic and riche of events. Moreover, most of traditional approaches to climate forecast are computationally prohibitive. It seems that a joint research between the Earth System Science at the University of California, Ir ...…
 
We like learning on vacation. And we're on vacation, so we thought we'd re-air this episode about how to learn.Original Episode: https://lineardigressions.com/episodes/2017/5/14/how-to-find-new-things-to-learnOriginal Summary: If you're anything like us, you a) always are curious to learn more about data science and machine learning and stuff, ...…
 
Logic is a fundamental of mathematical systems. It's roots are the values true and false and it's power is in what it's rules allow you to prove. Prepositional logic provides it's user variables. This episode gets into First Order Logic, an extension to prepositional logic.
 
What past situation you were in that you think you could have gone beyond the data?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172
 
This week’s podcast is a conversation between Martin and Chris, talking about how we define scale-up and scale-out storage. A recent discussion on Twitter about Pure1 and the idea of federated scale-out generated some interesting feedback, so we thought it might be good to get some definitions in place. The opening discussion talks about how sc ...…
 
Whether you are a start-up or a large corporation, you need to engage your team to drive engagement and business results. Katharine Kearnan, senior communication manager, IBM Analytics, and Alexa Youssefian, communications and social media specialist, IBM Analytics, join us this week to discuss team engagement and a new tool IBM has created cal ...…
 
The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy. In this episode of the Data Show, I spoke with Aurélie Pols of Mind Your Privacy, one of my go-to resources when it comes to data privacy and data ethics. This interview took place at Strata Data London, a couple of days before the EU General Data Protection Regulation ...…
 
When a patient comes into the hospital with stroke symptoms, the hospital will give that patient a CAT scan, a 3-dimensional imaging of the patient’s brain. The CAT scan needs to be examined by a radiologist, and the radiologist will decide whether to refer the patient to an interventionist–a surgeon who can perform an operation to lower the ri ...…
 
In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will discuss about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and talk about analytics infrastructure & how th ...…
 
In this episode, we chat with David Maxwell about wait stats, what they are and why we should care about them. There are so many different directions we can go and if you have a specific use case you’d like us to consider, let us know and we can include it in a future episode. The show notes for today's episode can be found at http://sqldatapar ...…
 
Download: MP3 Audio32 MB MPEG-4 AAC Audio25 MB [If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!] As creators of data visualization, it is important for us to remember that many of our platforms are not accessible to people who ...…
 
Download: MP3 Audio32 MB MPEG-4 AAC Audio25 MB [If you like what we do, please consider supporting us on Patreon or sending us a one-time donation through Paypal. Data Stories runs thanks to your financial support!] As creators of data visualization, it is important for us to remember that many of our platforms are not accessible to people who ...…
 
Humans seem to have reached a cross-point, where they are asked to choose between functionality and privacy. But not both. Not both at all. No data, no service. That’s what companies building personal finance services say. The same applies to marketing companies, social media companies, search engine companies, and healthcare institutions. In t ...…
 
Floppy disks, punch cards and BASIC — we’re taking a trip down tech memory lane. How has technology, specifically in terms of data management, evolved in the past few decades? On the latest episode of Data Decoded, Andy Leonard, founder and chief data engineer at Enterprise Data & Analytics, discusses what patterns he has seen in the past, what ...…
 
We're on vacation on Mars, so we won't be communicating with you all directly this week. Though, if we wanted to, we could probably use this episode to help get started.Original Episode: http://lineardigressions.com/episodes/2017/3/19/space-codesOriginal Summary: It's hard to get information to and from Mars. Mars is very far away, and expensiv ...…
 
An intelligent agent trained in a simulated environment may be prone to making mistakes in the real world due to discrepancies between the training and real-world conditions. The areas where an agent makes mistakes are hard to find, known as "blind spots," and can stem from various reasons. In this week’s episode, Kyle is joined by Ramya Ramakr ...…
 
What are the goals you will accomplish for the week?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/170
 
This week we talk to Mark Carlson, co-chair of the SNIA Technical Council, about the storage needs of hyperscalers. Mark defines hyperscalers as those companies opening multiple data centres a year, most notably Amazon, Microsoft Azure, Google and Facebook in the US and Baidu, Alibaba and Tencent in China. These vendors are deploying petabytes ...…
 
Attacking deep learning modelsCompromising AI for fun and profit Deep learning models have shown very promising results in computer vision and sound recognition. As more and more deep learning based systems get integrated in disparate domains, they will keep affecting the life of people. Autonomous vehicles, medical imaging and banking applicat ...…
 
Understanding #FutureOfData in #Health & #MedicineiTunes: http://math.im/itunesGooglePlay: http://math.im/gplayIn This podcast Aaron Black from Inova Translational Medicine Institute talks about his journey in creating/leading data science practice in healthcare. He shared some of the best practices, opportunities and challenges with respect to ...…
 
Per: The most important thing is to have an AI-enable infrastructure. It sounds very boring, but that was the learning that I got from the bank as well. It’s actually very easy for us to build the model, but what took a long time was to have the AI infrastructure that enables us to do so. Ginette: I’m Ginette. Curtis: And I’m Curtis. Ginette: A ...…
 
In this episode of the SuperDataScience Podcast, I chat with the CEO, Founder and AI Neuroscience Researcher, Tarry Singh. You will discuss the three essential components of businesses, learn the 5 main steps to excel in Deep Learning, and talk about how Machine Learning, Artificial Intelligence and Deep Learning could change the economic statu ...…
 
Back by popular demand in this week's episode is Nancy Hensley, Director of Offering Management for IBM Hybrid Cloud. Nancy is joined by Sean Ellis, CEO and founder of GrowthHackers.com, who coined the term growth hacking several years ago. Sean and Nancy share ways to find the Northstar metric for your business to rapidly attract clients and e ...…
 
We're on vacation, so we hope you enjoy this episode while we each sip cocktails on the beach.Original Episode: http://lineardigressions.com/episodes/2017/6/18/anscombes-quartetOriginal Summary: Anscombe's Quartet is a set of four datasets that have the same mean, variance and correlation but look very different. It's easy to think that having ...…
 
In this week’s episode, our host Kyle interviews Gokula Krishnan from ETH Zurich, about his recent contributions to defenses against adversarial attacks. The discussion centers around his latest paper, titled “Defending Against Adversarial Attacks by Leveraging an Entire GAN,” and his proposed algorithm, aptly named ‘Cowboy.’…
 
What are your strengths and what are some of your weaknesses that you can totally ignore and still become successful?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/168
 
This week, Chris and Martin discuss the subject of price parity between all-flash and hybrid or HDD-based storage arrays. From Martin’s perspective, he is starting to see vendor pricing getting close to parity and it making more sense to buy all-flash than a spinning media device. However, what are the issues? TCO is one – it’s not all about ar ...…
 
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