Top 10 Machine Learning and AI podcasts in 2019

AI and machine learning are the fastest-growing fields. Not only research and development, but also entrepreneurship. A startling number of start-ups and well-established tech giants are being invested in field advancement. And also contribute to it.

So, if you’re interested in learning about all that’s happening within the AI industry, you should listen to the top 10 machine learning and AI podcasts.

1. Artificial Intelligence in the Industry with Dan Faggella

Artificial Intelligence in the Industry with Dan Faggella is a podcast to make AI more interesting. Dan Faggella, CEO and founder of TechEmergence, hosts it. Every week, Faggella interviews top AI and machine learning experts with tech giant executives like Google, Facebook, eBay and more. These discussions provide insight into AI’s applications and their consequential industry implications. It’s a great podcast to listen to those interested in learning what’s going on in the AI world. His podcast, meant as an introduction to AI, is recommended for non-practitioners, executives and leaders who want to develop a wide-ranging yet shallow understanding of artificial intelligence. This podcast also has a very consistent calendar, releasing a runtime of 30–60 minutes weekly.

2. Concerning AI

Concerning AI, hosted by Ted Sarvata and Brandon Sanders, is a podcast attempting to answer one question–is there an existential risk to humanity from AI? If so, what do we do? (Okay, two questions). It offers a slightly different perspective on AI and its fast-growing industry. Hosts discuss potential threats and plausible risks from AI’s growing influence in society. And what steps to take as counter-measures. It’s interesting listening to those curious where AI can take the world.

3. Learning Machines 101

Learning Machines 101 has a series of podcats aimed at “demystifying Artificial Intelligence by entertainingly explaining basic concepts.” Sometimes their topics tend to be technical, such as “How to use Expectation Maximization to Learn Constraint Satisfaction Solutions” or “How to Use Radial Basis Perceptron Software for Supervised Learning.” Some topics, however, are for all listeners regardless of technical knowledge. The average episode is 20-30 minutes. They’ve over 65 episodes.

4. Linear Digressions

The hosts, Ben Jaffe and Katie Malone, manage to split complex data science issues and techniques into information snippets that the casual listener can easily digest. This podcast is designed for data scientists and machine learners, but the conversation is always interesting. The show releases weekly and has a short runtime of 15–30 minutes. Ben and Katie embrace some extremely technical topics by focusing on unusual machine learning and neural network applications. They now have over 164 episodes.

5. Machine Learning Guide

Machine Learning Guide is a podcast series to help listeners learn machine learning A to Z. Topics range from basic intuition, algorithms, math to language programming, deep learning, and podcast also acts as a curator of great digital resources for the topics discussed in episodes. So, listeners to explore them in depth. Machine Learning Guide host also recently launched a new podcast, Machine Learning Applied. This one is about the practical use of machine learning basics discussed in the other podcast.

6. Partially Derivative

Partially Derivative is one of the cool podcasts in AI and Machine Learning. Jonathan (Data Scientist / Software Developer), Vidya (Computer Engineer) and Chris (PhD in Political Science) meet over a round of drinks and discuss all data science. Some topics include “The Future of Deep Learning,” hence “The Limits of Deep Learning,” and a fascinating discussion on how AI affects artists ‘ world. They have a total of 107 episodes, averaging 30 minutes.

7. Talking Machines

Katherine Gorman and Ryan Adams started Talking Machines in 2015. Now hosted by Gorman and Neil Lawrence, the podcast’s goal is to bring out conversations on topics related to machine learning, robotics, and discuss the latest trends, news and useful insights in the field with industry experts. Described as the window into the world of machine learning, podcast is also a great source of information for new people. And while many have complained about audio quality, the show’s overall content is relevant, new and extremely insightful.

8. This Week in Machine Learning & AI

This Week in Machine Learning & AI (or TWiML&AI) is a popular podcast hosted by Sam Charrington. Mostly targeting machine learning and AI enthusiasts who belong to an influential community of engineers, data scientists, tech-savvy business and IT leaders and developers. Podcast is a platform where industry experts and innovators can share new ideas. Discussion topics include natural language processing, neural networks, analytics, and more. It also explores real-world practical use of AI.

9. The Data Skeptic

With episodes ranging from 15 minutes to an hour, Kyle’s Data Skeptic podcast is a great way to introduce yourself to the world of data science and machine learning. It includes 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 of assessing the veracity of claims and the effectiveness of approaches.

10. The O’Reilly Data Show

Hosted by O’Reilly Media’s Chief Data Scientist, Ben Lorica, the O’Reilly Data Show focuses primarily on data and data science instead of exclusively machine learning. Because of its association with O’Reilly Media, interview quality is very high and revolves around technical application of approaches. At times, they can get technical and quite in-depth, but it’s still a great way to keep up with what’s happening in the AI and Machine Learning world. They have a total of 60 episodes, averaging 20-60 minutes.

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