Best Data Science podcasts (Updated June 2017; image)
Related podcasts: Data Science Tech Featured FM Predictive Big Data Analytics Podcasting Business Science Education Marketing Health and Well-Being Philosophy Society  
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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.
 
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Storage Unpacked Blog
Monthly+
 
Unpicking the world of data storage
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
Big data and data science interviews, insight, and analysis.
 
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Not So Standard Deviations
Monthly+
 
Not So Standard Deviations: The Data Science PodcastRoger 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.
 
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Becoming A Data Scientist Podcast
 
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
 
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IBM Analytics Insights Podcasts
Weekly+
 
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.
 
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Data Science Storytime
Monthly
 
Data Science Storytime is a podcast all about data, science, stories, and time.
 
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Data Science at Home
Rare
 
podcast description
 
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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 ...
 
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Adversarial Learning
Monthly
 
@akm and @joelgrus talk about data, science, data science, Dave Shing, and whatever else we feel like
 
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Data Crunch
Monthly
 
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. Buckle up.
 
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Hadooponomics
Monthly
 
Blue Hill Research presents Hadooponomics. Host James Haight brings you top thinkers, leaders, and practitioners in the world of Big Data and Hadoop ecosystems to cut through the hype and guide you to the Big Data payoff.
 
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Data & Society
Weekly+
 
Presentations, talks and interviews from Data & Society
 
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The Analyst
Monthly
 
The Analyst is a podcast about how to use data to solve problems, in business and beyond.
 
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Talking Data Podcast » Episodes
Monthly
 
The top of trends in software practices for big data management and business analytics.
 
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GovEx Data Points
Monthly+
 
Accelerating the effective use of data by governments
 
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show series
 
The post Digital Dystopias: How Michael Crichton Taught Me To Start Worrying And Fear The Future appeared first on listen.datasociety.
 
The post Future Perfect: Designer and Discarded Genomes appeared first on listen.datasociety.
 
This week Chris and Vidya talk about using neural networks to provide pithy wisdom and other topics. Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet collaborators. Check out Data for Democracy, and come hang out with us! Sponsors! We’d also of course like to thank this we ...…
 
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Linear Digressions
 
What do you get when you cross a support vector machine with matrix factorization? You get a factorization machine, and a darn fine algorithm for recommendation engines.By hello@lineardigressions.com (Ben Jaffe and Katie Malone).
 
What's your favorite tool that you have been using in your career and in what way do you think can you improve your skills in using it?If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/64
 
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Data Skeptic
 
hen faced with medical issues, would you want to be seen by a human or a machine? In this episode, guest Edward Choi, co-author of the study titled Doctor AI: Predicting Clinical Events via Recurrent Neural Network shares his thoughts. Edward presents his team’s efforts in developing a temporal model that can learn from human doctors based on t ...…
 
The post Databites 100 Series: Machine Learning: What’s Fair and How Do We Decide? appeared first on listen.datasociety.
 
The post Databites 100 Series: Stats and the City: A Data-Driven Approach to Criminal Justice and Child Welfare appeared first on listen.datasociety.
 
The post Databites 100 Series: Data Science Reasoning appeared first on listen.datasociety.
 
This episode heralds the return of CEO Hilary. Also, Hilary and Roger discuss cybersecurity in the cloud, Theranos, residual variation in data analyses, and Airbnb’s Data University.Show notes:P-hacking or not?https://twitter.com/NASAGISS/status/875368384971649025 Theranos equipment sold on startup liquidators: https://twitter.com/startuplqdtr/ ...…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Michael Freedman on TimescaleDB and scaling SQL for time-series. In this episode of the Data Show, I spoke with Michael Freedman, CTO of Timescale and professor of computer science at Princeton University. When I first heard that Freedman and his collaborators were building a time-series database, my immediate re ...…
 
In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Erika Dorland. You will discuss about the different ways to keep up in Data Science, talk about the women in data science community, know the importance of communication skills and you will also get valuable tips on how to leverage your unique strengths when it ...…
 
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Partially Derivative
 
This week Chris and Vidya talk about the difficulties creating chatbots and how Vidya is going to lead a revolution to liberate them of their human overlords. Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet collaborators. Check out Data for Democracy, and come hang out wi ...…
 
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Linear Digressions
 
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 a good set of summary statistics (like mean, variance and correlation) can tell you everything important about a dataset, or at least enough to know if two datasets are extremely similar or extre ...…
 
Do you have dreams in your life which you think it’s time to turn into goals?If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/62
 
In a neural network, the output value of a neuron is almost always transformed in some way using a function. A trivial choice would be a linear transformation which can only scale the data. However, other transformations, like a step function allow for non-linear properties to be introduced. Activation functions can also help to standardize you ...…
 
Maps are everywhere throughout our lives. Whether using Google Maps, Yelp, riding the bus, or hiking at a national park, maps can turn data into easily consumable and useful information. However, making and using maps also comes with pitfalls that savvy data users should be aware of. In this episode Eric and Rebecca talk with Lyzi Diamond, an e ...…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Geoffrey Bradway on building a trading system that synthesizes many different models. In this episode of the Data Show, I spoke with Geoffrey Bradway, VP of engineering at Numerai, a new hedge fund that relies on contributions of external data scientists. The company hosts regular competitions where data scientis ...…
 
The following podcast was recorded at Pure Accelerate in San Francisco in June 2017. The recording was made behind the main stage, so apologies for the background noise which does get pretty loud for a while! Chris talks to Ivan Iannaccone, Director of Product Management (also known as Emperor of Flash) at Pure Storage. The […]…
 
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Data Stories
 
Download: MP3 Audio94 MB MPEG-4 AAC Audio73 MB It seems almost impossible right?! And yet, here we are with our 100th episode! Data Stories has been around for more than five years and now we mark this big milestone. This is a good opportunity to thank all of you for listening to us and for supporting us with your comments, ideas and suggestion ...…
 
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 a ...…
 
The post Databites 100 Series: Trade Secrets and Black-Boxing Criminal Justice appeared first on listen.datasociety.
 
The post Databites 100 Series: The DNA Revolution: Merging Data with Biology appeared first on listen.datasociety.
 
The post Databites 100 Series: Media Manipulation and Disinformation Online appeared first on listen.datasociety.
 
In this podcast, recorded on 14th June 2017 at Pure Accelerate in San Francisco, Chris talks to Rob Lee, Chief Architect of the FlashBlade product line. FlashBlade 2.0 sees greater scalability for the product, but more interesting is the way in which companies have taken the platform and used it creatively to achieve things that […]…
 
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Not So Standard Deviations
 
Hilary and Roger talk about the EARL conference, a data science tri-lemma, data science ethics, and Hilary’s CD collection.Show notes:P-hacking conversation: https://twitter.com/jakevdp/status/868564701239627776Wrangle Conf: http://wrangleconf.com/Gabe Becker’s EARL talk: https://twitter.com/groundwalkergmb/status/872918368319266816Thomas Vaugh ...…
 
This week Chris and Vidya talk about learning what it is like to work at a tech company and the fundamental nature of AI. Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet collaborators. Check out Data for Democracy, and come hang out with us! Sponsors! We’d also of course ...…
 
Originally release June 2016This episode is for all you (us) traffic nerds--we're talking about the hidden structure underlying traffic on-ramp metering systems. These systems slow down the flow of traffic onto highways so that the highways don't get overloaded with cars and clog up. If you're someone who listens to podcasts while commuting, an ...…
 
According to the CDC, people have been writing descriptions of malaria—or a disease strikingly similar to it—for over 4,000 years. How is data helping Zambian officials eradicate these parasites? Tableau Foundation’s Neal Myrick opens the story to us. Below is a partial transcript. For the full interview, listen to the podcast episode by select ...…
 
Which type of schedule do you usually participate in and how does it affect your role? If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/60
 
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Data Skeptic
 
This episode recaps the Microsoft Build Conference. Kyle recently attended and shares some thoughts on cloud, databases, cognitive services, and artificial intelligence. The episode includes interviews with Rohan Kumar and David Carmona.
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Alex Ratner on why weak supervision is the key to unlocking dark data. In this episode of the Data Show, I spoke with Alex Ratner, a graduate student at Stanford and a member of Christopher Ré’s Hazy research group. Training data has always been important in building machine learning algorithms, and the rise of d ...…
 
In this episode of the SuperDataScience Podcast, I chat with Data Scientist at True Motion Dan Shiebler. You will learn about the True Motion app and how this works, you will listen to great insights about how sensor data from your phone can be collected and analyzed and how data science can be applied to that, you will also understand how a be ...…
 
This week Chris and Vidya talk about using AI to create new paint colors and how to build a deep learning desktop box. The $1700 great Deep Learning box: Assembly, setup and benchmarks Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet collaborators. Check out Data for Democ ...…
 
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Linear Digressions
 
The year: 1998. The size of the web: 150 million pages. The problem: information retrieval. How do you find the "best" web pages to return in response to a query? A graduate student named Larry Page had an idea for how it could be done better and created a search engine as a research project. That search engine was called Google.…
 
Download: MP3 Audio45 MB MPEG-4 AAC Audio35 MB In this episode we are joined by Kim Rees and Steph Hay of Capital One. You may have heard the big news that Capital One recently decided to hire Kim Rees (formerly of Periscopic) as their Head of Data Visualization. It’s great to see such a big company hire a high caliber data viz professional lik ...…
 
When was the last time you attended a conference?If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/58
 
Max-pooling is a procedure in a neural network which has several benefits. It performs dimensionality reduction by taking a collection of neurons and reducing them to a single value for future layers to receive as input. It can also prevent overfitting, since it takes a large set of inputs and admits only one value, making it harder to memorize ...…
 
Deep learning is great and all, but how do you implement in a production environment? That’s a question that a lot of businesses are asking. Deep learning may look tempting when you think about how powerful it is. Research projects have shown it capable of replicating human vision and other types of thought processes. But it also can bring some ...…
 
Nothing is more critical to people’s lives than water. Local governments across the US usually do such a good job of providing safe, clean water that it’s often overlooked. However, recent high profile incidents in Flint, MI (lead), and in California (drought) have brought water and local government back into the conversation. In this episode, ...…
 
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 ...…
 
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Partially Derivative
 
This week Chris and Vidya talk to Sarah Guido and Andrew Musselman about coming to data science from non-traditional backgrounds. Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet collaborators. Check out Data for Democracy, and come hang out with us! Sponsors! We’d also of ...…
 
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Linear Digressions
 
We chat about fractional dimensions, and what the actual heck those are.By hello@lineardigressions.com (Ben Jaffe and Katie Malone).
 
What does the creation of new artificial intelligence products look like today, and what do experts in this field foresee realistically happening in the near future? One thing’s for sure, the way we work and function in life will change as a result of growth in this field. Listen and find out more. Below is […]…
 
How can you change or improve your life for the better and achieve more greatness?If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/56
 
This episode is an interview with Tinghui Zhou. In the recent paper "Unsupervised Learning of Depth and Ego-motion from Video", Tinghui and collaborators propose a deep learning architecture which is able to learn depth and pose information from unlabeled videos. We discuss details of this project and its applications.…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products. In this episode of the Data Show, I spoke with Jeremy Stanley, VP of data science at Instacart, a popular grocery delivery service that is expanding rapidly. As Stanley describes it, Instacart operates a four-sided ...…
 
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Not So Standard Deviations
 
Roger and Hilary discuss the meaning of “data driven”, the value of Cloud Computing (again), and algorithmic transparency.Show notes:Artificial Intelligence Owes You an Explanation: http://www.slate.com/articles/technology/future_tense/2017/05/why_artificial_intelligences_should_have_to_explain_their_actions.htmlWhen artificial intelligence bot ...…
 
In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will talk about many different topics in the space of data such as data strategy, data security, data flow within an organisation and the single point of truth. You will also get to learn about managing and hiring for a data science team and will be ...…
 
The post The Ambivalent Internet: Mischief, Oddity, and Antagonism Online appeared first on listen.datasociety.
 
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