Best Data Science podcasts (Updated August 2019; image)
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Data Skeptic
Weekly
 
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
 
The data of the world around us, hosted by data science super geeks. For the nerdy and nerd curious.
 
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.
 
A weekly podcast on deploying and managing enterprise storage and data
 
Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.
 
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Data Stories
Monthly
 
A podcast on data and how it affects our lives — with Enrico Bertini and Moritz Stefaner
 
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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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.
 
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Data Crunch
Monthly
 
If you want to learn how data science, artificial intelligence, machine learning, and deep learning are being used to change our world for the better, you’ve subscribed to the right podcast. We talk to entrepreneurs and experts about their experiences employing new technology—their approach, their successes, their failures, and the outcomes of their work. We make these difficult concepts accessible to a wide audience.
 
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DataFramed
Monthly+
 
[Note: DataFramed is currently on a short hiatus, but we plan to bring it back during Summer, 2019.] Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommen ...
 
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Making Data Simple
Weekly
 
Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
 
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Data Science at Home
Monthly+
 
Technology, machine learning and algorithms
 
Data Science Storytime is a podcast all about data, science, stories, and time.
 
Weekly deep dives on data management with the engineers and entrepreneurs who are shaping the industry
 
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Data Skeptic
Weekly
 
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
 
Explore data science, analytics, big data, machine learning as we discuss these topics
 
Data Futurology is data science from a human lens. In Data Futurology, experienced Data Science Leaders from around the world tell us their stories, challenges and the lessons learned throughout their career. We also ask them: - What makes a great data scientist? What skills are required?- How to become a great data science leader?- How should I grow and get the most out of my team?- What is a good data strategy? and how do I best implement it?- What are interesting applications of ML/AI tha ...
 
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Raw Data
Daily+
 
We’ve entered a new era. The creation and collection of information plays an ever-increasing — yet often hidden — role in our lives. Algorithms filter all sorts of experiences, from the mundane to the monumental. The fuel that powers and curates these experiences is…data. Data is the new oil; whoever controls data has power. Is this making things better? Worse? Raw Data is a show about how information becomes power. What are the implications for all of us, now that mountains of data are more ...
 
Databases and data engineering episodes of Software Engineering Daily
 
Hosted by Carlos L Chacon, the SQL Data Partners podcast focuses on SQL Server related topics designed to help you become familiar with what’s out there, how you might use those features or ideas and how you might apply them in your environments. Welcome aboard the SQL Trail.
 
@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like
 
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Data & Society
Monthly
 
Presentations, talks and interviews from Data & Society
 
Listen to talk about computer forensic analysis, techniques, methodology, tool reviews and more.
 
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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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Unsupervised
Rare
 
Unsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning.The podcast is aimed to data science professi ...
 
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Data Driven
Weekly
 
Exploring Machine Learning, AI, and Data Science
 
Do you make, break, and tinker with things? Are you a seeker of unconventional wisdom? Do you think in algorithms? Then welcome to FTFY, also known as Fixed That For You—a show about solving problems with data and algorithms. When we say Fixed That For You, we don’t mean it in that sometimes-snarky, message board way. We’re talking about the unconventional ways that really clever people tackle big problems, small problems, mysterious problems, even weird problems. And we learn about the iter ...
 
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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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Data Able
Monthly+
 
Join us on our journey to define the data-informed organization. Dave Mathias and Matt Jesser host weekly episodes where we discuss the culture, knowledge and practices that successful organizations, leaders and individuals use to get value out of data.
 
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DataBytes
Weekly
 
Data science, big data, artificial intelligence, machine learning… they’re all the rage. In this podcast, Jessi Cisewski-Kehe and Susan Wang, 2 statisticians, give you a perspective on what’s happening in the realm of all things data. Random bantering included. Support this podcast: https://anchor.fm/databytes/support
 
The Datasaurus-Rex Podcast (https://datasaurus-rex.com/category/inspiration/podcast) was started with the goal to showcase amazing data visualizations and getting to know the creators behind them. Hosted by Tableau Zen Master (https://www.tableau.com/zen-masters) David Murphy, each episode will have a data visualization expert guest who will cover one of their most popular creations.We'll get to understand how the data viz was designed, created and what tips & techniques it's creator used, s ...
 
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Analyze This
Daily+
 
A podcast about Applied Data Science from the Helzberg School of Management at Rockhurst University.
 
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In this episode of the SuperDataScience Podcast, I chat with top AI influencer, Ben Taylor. You will learn some very cool concepts about artificial intelligence such as active adverse impact mitigation, what that means and how that can help train on your dataset without bias. You will hear about AI ethics, deepfakes and Ben's current passion pr ...…
 
Download: MP3 Audio43 MB MPEG-4 AAC Audio34 MB We have art historian Sandra Rendgen on the show to talk about where data visualization comes from. Sandra published two great books on the topic, one called “The Minard System”, on the great Minard and the “History of Information Graphics” with contributions from multiple authors. On the show we t ...…
 
Download: MP3 Audio43 MB MPEG-4 AAC Audio34 MB We have art historian Sandra Rendgen on the show to talk about where data visualization comes from. Sandra published two great books on the topic, one called “The Minard System”, on the great Minard and the “History of Information Graphics” with contributions from multiple authors. On the show we t ...…
 
Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. This week, host Al Martin chats with Kent Collins, the solutions architect at BNSF Railway Inc. Al just did a panel with Kent in June at IDUG North America 2019, one of the premiere Db2 conferences. They tal ...…
 
A time series database is optimized for the storage of high volumes of sequential data across time. Time series databases are often organized as columnar data stores that can write large volumes of data quickly. These systems can sometimes tolerate data loss, because the data they are gathering is used for monitoring and other applications that ...…
 
In this episode I explain how a community detection algorithm known as Markov clustering can be constructed by combining simple concepts like random walks, graphs, similarity matrix. Moreover, I highlight how one can build a similarity graph and then run a community detection algorithm on such graph to find clusters in tabular data. You can fin ...…
 
Today we speak with Professor Ram Bala, an expert in supply chain management analytics, particularly last-mile delivery. He has very interesting insights into how today’s supply chain is evolving. He talks about various methods and algorithms he uses, the specific challenges inherent in doing last mile logistics and deliver, how pricing factors ...…
 
This week I talk about using WMI to create processes remotely.
 
Olivia is an internationally known thought-leader, speaker, best-selling and award-winning author, and a data scientist who focuses on the interplay between technology, corporate leadership, and personal growth and happiness. Throughout her career, she has blended analytic tools and holistic organizational practices to deliver successful soluti ...…
 
Video annotation is an expensive and time-consuming process. As a consequence, the available video datasets are useful but small. The availability of machine transcribed explainer videos offers a unique opportunity to rapidly develop a useful, if dirty, corpus of videos that are "self annotating", as hosts explain the actions they are taking on ...…
 
Video annotation is an expensive and time-consuming process. As a consequence, the available video datasets are useful but small. The availability of machine transcribed explainer videos offers a unique opportunity to rapidly develop a useful, if dirty, corpus of videos that are "self annotating", as hosts explain the actions they are taking on ...…
 
Summary Managing big data projects at scale is a perennial problem, with a wide variety of solutions that have evolved over the past 20 years. One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system. Designed as a fully integrated platform to meet the needs of enterp ...…
 
We talk often about which features in a dataset are most important, but recently a new paper has started making the rounds that turns the idea of importance on its head: Data Shapley is an algorithm for thinking about which examples in a dataset are most important. It makes a lot of intuitive sense: data that’s just repeating examples that you’ ...…
 
The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch — are here to help you. In this episode, Judith, Daniel and Al discuss the state of machine learning today, how to use it to advance your business as well as discoveries they made while writing their book. Learn how small and large businesses alike can find insights ...…
 
Can you pick one activity to implement for yourself this week to engage in loving yourself?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/288By Kirill Eremenko: Data Science Coach, Lifestyle Entrepreneur.
 
In this episode, we talk about some machine learning startups to pay attention to this year. --- Support this podcast: https://anchor.fm/databytes/support
 
This week’s episode is the first in a series from Flash Memory Summit 2019. Chris catches up with Erik Kaulberg from INFINIDAT to discuss how the expanding hierarchy of solid-state storage media will drive new products and solutions in the future. The topics of conversation cover how media has diversified, with new solutions like MRAM and 3D-XP ...…
 
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting ...…
 
In this episode of the SuperDataScience Podcast, I chat with a data scientist, public speaker and the mastermind behind the Let’s Go Data Science meetups, Ashwin Chirag. You will learn why it is very important to attend meetups and what are the benefits and advantages you get from meetups. You will hear some great stories on how in-person conne ...…
 
Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. This week’s guest on the Making Data Simple podcast is Jennifer Sukis, design principal for AI and machine learning at IBM. Jennifer shares her philosophies and ideas on what constitutes as great design, spe ...…
 
The two most widely considered software development models in modern project management are, without any doubt, the Waterfall Methodology and the Agile Methodology. In this episode I make a comparison between the two and explain what I believe is the best choice for your machine learning project. An interesting post to read (mentioned in the ep ...…
 
This week I talk about Density Scout, an open source tool for malware triage.
 
We're talking with Nadieh Bremer, a freelance data visualization expert. Nadieh breaks down how she tackles a tough data visualization problem and shares some examples of her award winning visualizations!
 
Prashant Natarajan has 18+ years’ experience in building EMRs, ERP, big data platforms, actionable analytics, and machine/deep learning applications. Before joining Deloitte, he served in hands-on global consulting and product leadership roles at H2O.ai, Oracle, McKesson Payer Solutions, Healthways, and Siemens. Prashant is Co-Faculty Instructo ...…
 
Summary The extract and load pattern of data replication is the most commonly needed process in data engineering workflows. Because of the myriad sources and destinations that are available, it is also among the most difficult tasks that we encounter. Fivetran is a platform that does the hard work for you and replicates information from your so ...…
 
This is a re-release of an episode that first ran on April 9, 2017.In our follow-up episode to last week's introduction to the first self-driving car, we will be doing a technical deep dive this week and talking about the most important systems for getting a car to drive itself 140 miles across the desert. Lidar? You betcha! Drive-by-wire? Of c ...…
 
Today, our guest, Alain Briancon, will talk to us about how to work with Fortune 500 companies and help them get quick value from their data, how to build a roadmap of incremental value during the data collection and analysis process, how they help predict and incentivize customer purchases, and how to dial in on an idea for successful data sci ...…
 
Can you give yourself an hour this weekend to physically separate from your phone?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/286By Kirill Eremenko: Data Science Coach, Lifestyle Entrepreneur.
 
Deep learning has been useful for lots of applications when it comes to prediction. Yet another is the use of a short sound clip of speech to predict the face of the speaker. --- Support this podcast: https://anchor.fm/databytes/support
 
NetApp has developed a new backup service called NDAS or NetApp Data Availability Services. NDAS is based in the public cloud and provides the ability to run analytics against secondary data in AWS S3, without having re-hydrate through a backup platform. Chris met with Charlotte Brooks (Technical Marketing Engineer) and Joel Kaufman (Director o ...…
 
Data-as-a-service businesses offer paid access to data sets. These data sets can be useful for building products or training machine learning models. There has been steady growth in the tools and practices around processing and storing data. But access to data sets remains a bottleneck for widespread development of machine learning applications ...…
 
In this episode of the SuperDataScience Podcast, I chat with the top contributor on Stack Overflow, Jon Skeet. You will learn what is versioning, how that affects developers and how that affects data scientists. You will hear about compiled versus interpreted languages, what is the silver bullet in cold diagnostics, what kind of problems you wa ...…
 
This week, host Al Martin chats with Tracy Bolot, VP of enterprise management at IBM. Together, they discuss how people are at the core of companies -- not technology -- as well as details of the product development pipeline. Check us out on: - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher Show notes: 00:05 - Connect with Pro ...…
 
In this podcast we do an AMA with Andy Kriebel, with the questions asked from the data viz community that he contributes to immensely. There are so many inspiring insights from any in the special episode! Video version ► http://bit.ly/2Kgjqz4 Guest links: Andy's website ► http://www.vizwiz.com/ Tableau Public ► https://public.tableau.com/profil ...…
 
A large sales organization has hundreds of sales people. Each of those sales people manages a set of accounts who they are trying to close sales deals on. Sales people are overseen by managers who ensure that the sales people are performing well. Directors and VPs ensure the scalability and health of the overall sales organization. The sales li ...…
 
In this episode, Frank and Andy answer some your questions!Show notes coming soon!By Data Driven.
 
This week I cover a resource you can use to develop windows remote execution triage methodology and threat hunting.
 
Training neural networks faster usually involves the usage of powerful GPUs. In this episode I explain an interesting method from a group of researchers from Google Brain, who can train neural networks faster by squeezing the hardware to their needs and making the training pipeline more dense. Enjoy the show! References Faster Neural Network Tr ...…
 
In this episode, Anthony Ugoni, one of Australia’s more prominent leaders in analytics interviews Felipe. Felipe came to Australia as a backpacker and ended up falling in love with the place. With Spanish as his first language, the only English he could say was the jacket is black. Then, Felipe explains some of his odd jobs and working freelanc ...…
 
Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information. Lyft has bu ...…
 
A knowledge base assembles information from a wide variety of sources into a central platform. The most popular knowledge base is Wikipedia, which covers a wide variety of concepts through a system that attempts to remain authoritative and impartial. Other open knowledge platforms include Stack Overflow, which focuses on programming concepts, a ...…
 
In October 2005, 23 cars lined up in the desert for a 140 mile race. Not one of those cars had a driver. This was the DARPA grand challenge to see if anyone could build an autonomous vehicle capable of navigating a desert route (and if so, whose car could do it the fastest); the winning car, Stanley, now sits in the Smithsonian Museum in Washin ...…
 
In this episode, we talk about protecting kids' digital privacy. --- Support this podcast: https://anchor.fm/databytes/support
 
Who in your life can you get more inspiration and learning from by increasing your proximity?If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/284By Kirill Eremenko: Data Science Coach, Lifestyle Entrepreneur.
 
This week Chris is in Silicon Valley and catches up with Rawlinson Rivera, Field CTO at Cohesity. The company recently released a new feature called Marketplace that enables customers to run data-focused applications directly on the Cohesity platform. The idea of running applications on data protection hardware has some benefits and potential d ...…
 
In this podcast we hear how Dinushki visualised and animated the musical data within a midi file of a piece of orchestral music. The visualisiation itself is inspiring and shows how only your imagination can limit what you can do with data visualisations and Tableau. Video version ► http://bit.ly/2SYYkb3 Guest links: The Firebird Suite : Infern ...…
 
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combi ...…
 
In this episode of the SuperDataScience Podcast, I chat with one of the key people behind the Python package scikit-learn, Andreas Mueller. You will learn about gradient boosting algorithms, XGBoost, LightGBM and HistGradientBoosting. You will hear Andreas's approach to solving problems, what machine learning algorithms he prefers to apply to a ...…
 
This week, host Al Martin chats with Tom Taulli. Tom is a blogger, investor, and an advisor to startups. He frequently writes about AI for Forbes. He is also an author of several books, including How to Create the Next Facebook: Seeing Your Startup Through, from Idea to IPO and The Complete M&A Handbook. Check us out on: - YouTube - Apple Podca ...…
 
Download: MP3 Audio48 MB MPEG-4 AAC Audio37 MB Matt Daniels from The Pudding [Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!] We have Matt Daniels on the show again (after more than 3 years!). Ma ...…
 
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