Best Data Science podcasts (Updated July 2017; image)
Related podcasts: Data Science Tech Featured FM Predictive Big Data Analytics Science Education Podcasting  
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show episodes
 
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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 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.
 
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Becoming A Data Scientist Podcast
Monthly
 
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 Stories
Monthly
 
A podcast on data and how it affects our lives — with Enrico Bertini and Moritz Stefaner
 
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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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SQL Data Partners Podcast
Weekly
 
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.
 
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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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FIT5195 Business Intelligence and Data Warehousing
Monthly+
 
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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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
 
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Partially Derivative
 
This week Chris and Vidya discuss François Chollet’s new blog post on the future of deep learning! 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 week ...…
 
We're back again with friend of the pod Walt, former software engineer extraordinaire and current data scientist extraordinaire, to talk about some best practices from software engineering that are ready to jump the fence over to data science. If last week's episode was for software engineers who are interested in becoming more like data scient ...…
 
What events in your life which you can connect what's happening?If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/72
 
In statistics, two random variables might depend on one another (for example, interest rates and new home purchases). We call this conditional dependence. An important related concept exists called conditional independence. This phrase describes situations in which two variables are independent of one another given some other variable. For exam ...…
 
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Not So Standard Deviations
 
Hilary and Roger talk about teaching R in the era of the tidyverse, joyplots, follow up on explainable AI, writing versus data analysis, and Google Music playlists. They also take some reader questions and Hilary has an amazing app idea. Lastly, Roger has a special announcement. Show Notes: Joyplots: https://twitter.com/i/moments/88730796317365 ...…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Evangelos Simoudis on next-generation mobility services. In this episode of the Data Show, I spoke with Evangelos Simoudis, co-founder of Synapse Partners and a frequent contributor to O’Reilly. He recently published a book entitled The Big Data Opportunity in Our Driverless Future, and I wanted get his thoughts ...…
 
In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering and know what's the impact that Artificia ...…
 
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SQL Data Partners Podcast
 
How can you tell when a change is enough of a change? How do you know you didn’t make too big of a change? Steve and I discuss some thoughts around what you might look for when you make certain changes. Some of the components we cover include Max degree of parallelism, cxpackets, virtual log files, the number of log files for a database, backup ...…
 
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Partially Derivative
 
This week Chris and Vidya discuss the limits of deep learning and how to each mathematics. The limitations of deep learning AI is making it extremely easy for students to cheat 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, an ...…
 
Download: MP3 Audio36 MB MPEG-4 AAC Audio28 MB *** SUPPORT US ON PATREON! If you enjoy our show, consider supporting us on Patreon! You can contribute just the cost of one or two lattes for each episode we publish every two weeks. *** In this episode we have famous cartoonist and comics theorist Scott McCloud. Scott wrote the popular books Unde ...…
 
Download: MP3 Audio36 MB MPEG-4 AAC Audio28 MB *** SUPPORT US ON PATREON! If you enjoy our show, consider supporting us on Patreon! You can contribute just the cost of one or two lattes for each episode we publish every two weeks. *** In this episode we have famous cartoonist and comics theorist Scott McCloud. Scott wrote the popular books Unde ...…
 
Data scientists and software engineers often work side by side, building out and scaling technical products and services that are data-heavy but also require a lot of software engineering to build and maintain. In this episode, we'll chat with a Friend of the Pod named Walt, who started out as a software engineer but works as a data scientist n ...…
 
When Julia Silge’s personal interests meet her professional proficiencies, she discovers new meaning in Jane Austen’s literature, and she gauges the cultural influence of locations in pop songs. Even more impressive than these finds, though, is that she and her collaborator, Dave Robinson, have developed some new, efficient ways to mine text da ...…
 
Animals can't tell us when they're experiencing pain, so we have to rely on other cues to help treat their discomfort. But it is often difficult to tell how much an animal is suffering. The sheep, for instance, is the most inscrutable of animals. However, scientists have figured out a way to understand sheep facial expressions using artificial ...…
 
How would a report by IBM on the landscape of the data science industry help with your career planning?If you enjoyed the show, please take a minute to leave us an iTunes review. Visit SuperDataScience.com for more information!
 
Do you have any experience with [Insert random technology]? Your heart starts to race and your palms get a little sweaty. You don’t want to say no–we’re tech folks–we know stuff, but there are so many new things to learn! How are you supposed to keep up with it all? In this episode, we chat with Eugene Meidinger about his thoughts on keeping up ...…
 
In this episode of the SuperDataScience Podcast, I chat with the Data and Analytics Recruiter for FutureYou Executive Recruitment, Caroline McColl. You’ll learn how to build up the courage and not be afraid to ask questions when you most need to, know what the 10 Steps to Thought Leadership are and finally you'll discuss the value of presentati ...…
 
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Partially Derivative
 
This week Chris and Vidya talk the challenges of machine learning and training data. 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 week’s sponsor, Ve ...…
 
This episode was first released in November 2014.In the 1850s, there were a lot of things we didn’t know yet: how to create an airplane, how to split an atom, or how to control the spread of a common but deadly disease: cholera.When a cholera outbreak in London killed scores of people, a doctor named John Snow used it as a chance to study wheth ...…
 
In what ways do you stimulate your creativity?If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/68
 
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Data Skeptic
 
This episode collects interviews from my recent trip to Microsoft Build where I had the opportunity to speak with Dharma Shukla and Syam Nair about the recently announced CosmosDB. CosmosDB is a globally consistent, distributed datastore that supports all the popular persistent storage formats (relational, key/value pair, document database, and ...…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Pinterest data scientist Grace Huang on lessons learned in the course of machine learning product launches. In this episode of the Data Show, I spoke with Grace Huang, data science lead at Pinterest. With its combination of a large social graph, enthusiastic users, and multimedia data, I’ve long regarded Pinteres ...…
 
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Not So Standard Deviations
 
Hilary and Roger discuss the paradigm-shifting Echo Show, whether we need explainable AI or not, and how lessons from DevOps could be useful in analysis development. Show notes: Peter Norvig on explainable AI: https://www.computerworld.com.au/article/621059/google-research-chief-questions-value-explainable-ai/ Wired article about Google's Site ...…
 
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 ...…
 
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SQL Data Partners Podcast
 
When we write our queries to the database, SQL Server has to go and figure out the best way to go and bring back the data you asked for. A query plan is created to help SQL Server remember how to get the data for this query. It takes time to make these queries, so the database wants to limit the number of times it has to create the plans so it ...…
 
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Partially Derivative
 
This week Chris and Vidya talk about getting your first job in data science and the world of genetic data. 9 Mistakes to Avoid When Starting Your Career in Data Science The power of a billion: India’s genomics revolution Download the episode Make a DifferenceWe started a community for data people who want to find impactful projects and meet col ...…
 
This episode was first release in February 2015.In 2000, Enron was one of the largest and companies in the world, praised far and wide for its innovations in energy distribution and many other markets. By 2002, it was apparent that many bad apples had been cooking the books, and billions of dollars and thousands of jobs disappeared.In the after ...…
 
In what situations do you have your best idea?If you enjoyed this episode, check out show notes, resources, and more at http://www.superdatascience.com/66
 
This episode discusses the vanishing gradient - a problem that arises when training deep neural networks in which nearly all the gradients are very close to zero by the time back-propagation has reached the first hidden layer. This makes learning virtually impossible without some clever trick or improved methodology to help earlier layers begin ...…
 
Data preparation as it is applied to deep learning is a topic under discussion these days, as data engineers and scientists try out new machine methods for prediction. In comparison to garden-variety BI, deep learning applications can require significant pre-processing. This became clear as the Talking Data crew ventured out to cover the Re.Wor ...…
 
Download: MP3 Audio21 MB MPEG-4 AAC Audio17 MB [If you enjoy the show, consider supporting us on Patreon! You pay a small fee for each episode we publish.] In this episode, we have Michael Correll and Jeff Heer from the University of Washington to talk about a novel visualization technique they developed called “Surprise Maps”: a new kind of ma ...…
 
Download: MP3 Audio21 MB MPEG-4 AAC Audio17 MB [If you enjoy the show, consider supporting us on Patreon! You pay a small fee for each episode we publish.] In this episode, we have Michael Correll and Jeff Heer from the University of Washington to talk about a novel visualization technique they developed called “Surprise Maps”: a new kind of ma ...…
 
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O'Reilly Data Show - O'Reilly Media Podcast
 
The O’Reilly Data Show Podcast: Naveen Rao on emerging hardware and software infrastructure for AI. In this episode of the Data Show, I speak with Naveen Rao, VP and GM of the Artificial Intelligence Products Group at Intel. In an earlier episode, we learned that scaling current deep learning models requires innovations in both software and har ...…
 
Organizing a hackathon is common concept for the civic tech movement. Bringing people together to solve a problem in a short period of time creates urgency, community, and a sense of shared purpose using data. However, hackathons can seem exclusive to certain members of a community unless planned with accessibility and data literacy in mind. In ...…
 
One of the newer features in SQL Server is availability groups, which can help solve a number of business problems. As administrators, availability groups introduce some complexity as we are tasked to make sure the Recovery Point Objective (RPO) and Recovery Time Objective (RTO) can be meet for these servers. The complexity comes because we hav ...…
 
In this episode of the SuperDataScience Podcast, I chat with CEO & Co-founder at SFL Scientific Michael Segala. You will discuss about several exciting case studies from the consulting world, see how Data Science can be used in different areas of an organization, learn how it drives real value into business, and finally get valuable insights on ...…
 
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.
 
In this special sponsored episode, Chris talks with Paco Nathan about JupyterCon. Partially Derivative JupyterCon Coupon Code Sign up with the code PDPODCAST and get 20% off most tickets. Download the episode Sponsors! We’d also of course like to thank this week’s sponsor, O’Reilly Media.
 
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Partially Derivative
 
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/startuplqd ...…
 
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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 ...…
 
Listener Cody Ford wrote in and asked if we could share some thoughts on getting familiar with an unfamiliar database. While we have done episodes in the past on best practices, this episode takes the approach of what we should look for on a server that is new to us--the components we should document and then review for potential updates. Do yo ...…
 
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