The 9 Best Podcasts for AI, ML, and Data Science Professionals

Artificial intelligence, machine learning, and data science are some of today’s most popular tech fields. Becoming a professional in any of them can be your ticket to working on some of the greatest innovations that will power the world for decades to come. Of course, you must keep up with the latest developments in the industry to stay ahead.

That’s where podcasts come in. The best data science, machine learning, and AI podcasts can teach you a lot about these topics and areas where you can apply them.

The MLOps Live podcast is a biweekly Q&A show hosted by machine learning professionals. As the name implies, it focuses on helping listeners learn about machine learning operations, MLOps.

The podcast consists of insightful conversations between hosts and guests about MLOps topics. Guests featured on the show include Kuba Cieslik, Kyle Morris, Michal Tadeusiak, and Federico Bianchi, among others.

Each show episode lasts 45 to 60 minutes, concentrating on specific topics like managing computer vision projects using AI and the links between data engineering and neural search.

A screenshot of the TWIML AI podcast overview

The TWIML AI Podcast has been around for years and is hosted by Sam Charrington, an influential analyst and thought leader in the tech industry. It caters primarily to tech, business, and IT leaders, AI/ML researchers, data engineers, and other data professionals.

Every week, Sam sits with some of the most brilliant individuals from machine learning and artificial intelligence to discuss innovations and ideas in various technologies. These include data science and analytics, neural networks, natural language processing (NLP), and deep learning.

Episodes typically run for 30 minutes to an hour, depending on the topics for discussion. The podcast is available on all major platforms, including Apple Podcasts, Google Podcasts, and Spotify, so finding it is easy.

A screenshot of the Data Skeptic podcast overview

The Data Skeptic podcast covers artificial intelligence, k-means clustering algorithms, time series data, and other closely related data science, AI, and ML topics. It’s been around since 2014, and in that time, it has featured hundreds of interviews and is widely regarded as an authority in the aforementioned fields.

The podcast runs in seasons, each based on a central theme. As such, it contains insightful research and opinions from industry professionals and other guests. If you want to learn more about algorithmic design, cloud infrastructure, key facts about AI, and end-to-end machine learning, this is one podcast you must check out.

A screenshot of the Data Crunch podcast overview

The Data Crunch podcast is a product of Data Crunch, a business analytics consulting firm established by Curtis Seare and Ryan Nokes. It features conversations with data science experts, researchers, and entrepreneurs, enabling these accomplished individuals to share their professional experiences, successes, and failures in the field with listeners.

Popular topics you can learn about via this podcast include the role of AI in construction and data strategy in the education sector. You’ll also find valuable info on AI applications in sectors like finance and medicine.

A screenshot of the Gradient Dissent podcast overview

Lukas Biewald founded this biweekly podcast, where he interviews ML leaders from several of the world’s most visionary companies and research institutions. His guest list includes personalities like Drago Anguelov, Mircea Neagovici, and Will Falcon.

One popular episode is the sitdown with Jeremy Howard, where Lukas and Jeremy discuss the future of machine learning and its real-world applications. Episodes can last anywhere from 45 minutes to an hour and a half. Furthermore, listeners can listen to the podcast on the Weights and Biases website and platforms like Apple Podcasts and SoundCloud.

A screenshot of the Practical AI podcast overview

Changelog Media is the company behind this amazing podcast. The name is a giveaway for the show’s content, which includes engaging conversations about MLOps, AIOps (artificial intelligence operations), and neural networks. Episodes range from 30 minutes to an hour, and you can listen in on all major podcast platforms.

The podcast features industry experts, tech professionals, data science enthusiasts, students, and business personalities, discussing various ideas and innovations in AI and ML. Of course, the idea is to promote learning, and the show accomplishes that with aplomb. Listeners are treated to a productive discourse on these technologies’ practical, real-world applications.

A screenshot of the Eye on AI podcast overview

Eye On AI is another biweekly podcast discussing machine learning and artificial intelligence advancements. Craig Smith, a veteran New York Times correspondent, hosts it. Episodes feature conversations with computer scientists, AI developers, startup founders, and university professors, including one who heads the team behind the world’s largest AI system.

These discussions include machine learning libraries, customer data privacy, automatic code generation, and IoT (Internet of Things) development. You can also find information on the latest ideas for building no-code platforms, developing convolutional neural networks, and applying ML language models.

A screenshot of the Voices in AI podcast overview

If you want to get in-depth insights into the social, economic, and ethical implications of real-world AI applications, Voices in AI is the podcast you should be listening to. Byron Reese, CEO of GigaOm, hosts it and works with some of the leading minds in artificial intelligence.

Each podcast episode lasts for an hour and features one guest. Some of the world’s most well-known scientists, engineers, researchers, and others have graced the show, including Nobel laureate Kary Mullis, Rob Lubow, Fiona McEvoy, and Didem Un Ates. Each guest and Byron discuss important issues around AI applications, including weaponized AI, income inequality and unemployment, robots, and humanoid AI machines.

A screenshot of the Adventures in Machine Learning podcast overview

Becoming a machine learning engineer is easier said than done. However, if you’re convinced it’s the right career, subscribing to the Adventures in Machine Learning podcast is a smart move.

Hosts Ben Wilson and Michael Berk talk about various topics, including how to do research spikes, test ML codes, and apply time series models in machine learning. Additionally, you’ll hear discussions with notable industry leaders like Vidhi Chugh and Jesse Langford.

The podcast is free to listen to; you’ll find episodes wherever you listen to your favorite podcasts. Alternatively, you can add it by RSS feed.

Learn More About AI, ML, and Data Science From the Best Podcasts

Listening and learning are essential to growing as an AI, ML, or data science professional. Listen to insights from industry leaders and high-flying professionals. Understand the current state of AI and ML applications, and watch where they’re headed.

Of course, learning about innovations in these sectors is exciting, and following the work of individuals who have achieved so much in your field is invaluable. The information in these podcasts can set you on your way to achieving much more than you ever imagined.

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