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Best Big Data, Data Science, Data Mining, and Machine Learning podcasts


We present the top 12 Data Science & Machine Learning related Podcasts by popularity on iTunes. Check out latest episodes to stay up-to-date & become a part of the data conversations!

Learn Data science the new way by listening to these compelling story tellers, interviewers, educators and experts in the field. Data suggests that podcasting about Data Science is only growing!

  1. Talking Machines, 12 episodes, iTunes
    An interview format based podcast with Hosts, Katherine Gorman and Ryan Adams, who bring clear conversations with experts in the machine learning field.

    [Latest] The Economic Impact of Machine Learning and Using the Kernel Trick on Big Data
    In this episode we talk with Andrew Ng, Chief Scientist at Baidu, we’re introduced to random features for large-scale kernel machines, and we take a listener question about the size of computing power in machine learning.
  2. Partially derivative, 23 episodes, iTunes
    A show about data science, interesting new projects, latest data news and all these conversations over a beer which makes it a good entertainer!!

    [Latest] Episode 23: Political Science Rulez
    This week Chris overcompensates for his love of political science while Jonathon continues to be unimpressive.
  3. The Data Skeptic, 56 episodes, iTunes
    This podcast features conversations on topics related to data science, statistics, machine learning, artificial intelligence. It alternates between mini episodes which are quick introductions to concepts and long form episodes which are usually interviews with experts in the field.

    [Latest] #57: Preserving History at Cyark
    Elizabeth Lee from CyArk joins us in this episode to share stories of the work done capturing important historical sites digitally. CyArk is a non-profit focused on using technology and data to preserve the world's important historic and cultural locations digitally.
  4. Freakonomics, 234 episodes, iTunes
    A radio podcast hosted by Stephen J. Dubner and Steven Levitt who tell engaging stories to explore the "hidden side of everything". Their work may not technically fit into "Data science" category but it is certainly data driven in the sense that one can learn how to use data to answer questions!

    [Latest] : Ten Years of Freakonomics
    Dubner and Levitt are live on stage at the 92nd Street Y in New York to celebrate their new book “When to Rob a Bank” — and a decade of working together.
  5. Linear Digressions, 23 episodes, iTunes
    A podcast about Explorations in Machine Learning and Data Science and how they apply to real-world problems and datasets.

    [Latest] Electoral Insights (Part 1)
    The first of our two-parter discussing the recent electoral data fraud case. Data science for election research involves studying voters, who are people, and people are tricky to study—every one of them is different, and the same treatment can have different effects on different voters.
  6. Learning Machines 101 , 29 episodes, iTunes
    A podcast that covers topics that start off with an Introduction to Artificial Intelligence and Machine Learning, and progresses to advanced levels.

    [Latest] LM101-029: How to Modernize Deep Learning with Rectilinear units, Convolutional Nets, and Max-Pooling
    This podcast discusses the topics of rectilinear units, convolutional nets, and max-pooling relevant to deep learning which were inspired by Richard Golden's recent visit to the 3rd International Conference on Learning Representations (May 7-9, 2015) in San Diego.
  7. All things Hadoop , 23 episodes, iTunes
    This podcast main focus is on Hadoop MapReduce, a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes.

    [Latest] Resource scheduling and task launching with Apache Mesos and Apache Aurora at Twitter
    Bill explains how Twitter,is using Apache Mesos and Apache Aurora, and gets more for their money for the hardware and saves engineering time (both development and operations) by utilizing fine grained resources scheduling across their infrastructure.
  8. Data Stories, 56 episodes, iTunes
    If data visualization is your cup of tea, then this podcast is for you. Join the conversations with Enrico Bertini and Moritz Stefaner.

    [Latest] Data Stories #54 Designing Exploratory Data Visualization Tools w/ Miriah Meyer
    We have Miriah Meyer with us in this episode to talk about how to build interactive data visualization tools for scientists and researchers.On the show we talk about her work on analyzing and understanding the design process: required steps, major pitfalls and tips on how to collaborate with domain scientists.
  9. Tableau Wannabe podcast , 23 episodes, iTunes
    A podcast about different Tableau features and helpful tips by Emily Kund and Matt Francis

    [Latest] Ep22 - Talking Community with Tracy Fitzgerald
    In this episode, Emily discusses top visualization content posted in the Tableau community.
  10. The O'Reilly Data Show, 15 episodes , iTunes
    This is interview based podcast featuring Ben Lorica, O’Reilly Media’s Chief Data Scientist speaking with eminent industry experts about timely big data and data science topics.

    [Latest] Apache Spark: Powering applications on-premise and in the cloud
    With Spark Summit SF right around the corner, I recently sat down with Patrick Wendell, release manager of Apache Spark and co-founder of Databricks, for this episode of the O’Reilly Data Show Podcast. We talked about how he came to join the UC Berkeley AMPLab, the current state of Spark ecosystem components, Spark’s future roadmap, and interesting applications built on top of Spark.
  11. IBM Big data & Analytics hub , 103 episodes, iTunes
    This podcast provides the latest thinking on big data and its implications for the enterprise from a range of experts.

    [Latest] IBM Public Sector Talks #1: Putting the citizen at the center
    Our guest this week Rosetta Carrington Lue is an innovative leader with experience in the fields of customer experience and operations management and community engagement both in the public and private sectors.
  12. Obsessive-Compulsive Data Quality (OCDQ) Radio, 45 episodes, iTunes
    Obsessive-Compulsive Data Quality (OCDQ) Radio is a vendor-neutral podcast about data quality and its related disciplines, including data governance, master data management, and business intelligence.

    [Latest] 2014 International Data Quality Summit Conference co-chairs Joy Medved of IAIDQ and Melissa Hildebrand of ECCMA discuss the 2014 International Data Quality Summit

Note: The podcasts are ordered by number of ratings in iTunes, except "Freakonomics" - which had the most ratings (2711) - was placed fourth, and "Obsessive Compulsive Data Quality", which was a highly popular podcast in 2014 but is not updated since, was placed last.

This post used some content from 7 best data science and machine learning podcasts