Data science podcasts are one of the best sources to gain information from some of the best minds in the industry. Machine learning practitioners who have made it big in the field talk about the latest developments, best methodologies, and future of the data science space. Listening to researchers and developers who have furthered machine intelligence technology clarifies confusions in the market as well as brings fresh perspectives to listeners. Whether you are an aspirant or practitioners, you should listen to these artificial intelligence podcasts and stay abreast of the latest trends in the industry. Today, there are numerous machine learning podcasts, making it difficult to follow along. But, you can always be selective while listening according to your area of interest.
We list down 10 data science podcasts that you can subscribe to and stay informed.
Note: This list is in no particular order.
Lex Fridman Podcast
Lex Fridman Podcast, by many, is considered as the best artificial intelligence podcast. Over the years, top researchers, as well as practitioners, have been a part of this podcast. Unlike others, Lex Fridman Podcast host lengthy conversations that can go as long as 4 hours. However, usually, it is 2 hours long. Earlier this podcast was only focused on artificial intelligence, but he is now inviting researchers from other fields like neuroscience, physicists, chemistry, historian, maths, and more. Started in 2018, it is a weekly podcast that quickly gained traction in the data science field; it is a must for any data science enthusiast.
Data Skeptic is one of the oldest data science podcasts that has covered a wide range of topics. Since 2014, it has been catering to the curiosity of machine learning practitioners every week. This machine learning podcast is usually 30 minutes long, thereby making it an ideal length of most of the listeners. If you are interested in statistics, critical thinking, and efficiency of approaches in machine learning, this is the go-to podcast for all your needs.
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The TWIML AI Podcast
Hosted by Sam Charrington, The TWIML AI Podcast (formerly known as This Week in Machine Learning & Artificial Intelligence) started in 2016 and has over 410 episodes. Charrington hosts top influencers from the data science field to discuss trends and best practices. The episodes are 40 to 60 minutes long, which are just enough for sharing ideas without repeating.
As the name suggests, Practical AI, along with new developments in data science, focuses on real-world implementation. The weekly artificial intelligence podcast has 60 minutes long episodes, featuring technology professionals, researchers, and developers to engage in exciting conversation on machine learning. Started in 2018, this is one of the best data science podcasts that everyone should keep an eye on.
The AI Podcast
The machine learning podcast, The AI Podcast, is produced by NVIDIA–a leading graphic processing unit provider. This podcast was started in 2016 and has over 120 episodes. NVIDIA’s podcasts are top-rated among professionals who are more interested in computing power in artificial intelligence. Top developers, researchers and leaders from NVIDIA share their experience and knowledge about machine learning. Influencers from different organizations like from NASA, Lenovo, Ford and more are invited to bring a fresh perspective to the listeners of this podcast.
Making Data Simple
Hosted by VP of Data and AI Development of IBM, this podcast is another highly recommended content in the data science landscape. Making Data Simple is in many ways different from other data science podcasts; it focuses on demystifying the technologies for the general public. Instead of in-depth research topics, the 30 to 40 minutes of conversation are a perfect starting point for beginners.
Brain Inspired is a long-form podcast–around 2hr–that is intensely focused on neuroscience and artificial intelligence. Experts from different walks of life are invited to talk about deep learning and machine learning techniques. This is the best deep learning podcasts for experts or practitioners who have a deep understanding of neural networks. For beginners, the episodes can be overwhelming due to constant bombardment of information about data science techniques.
AI In Business
Although started late last year, AI in Business produces episodes at scale. You may witness 2 to 3 episodes in a week, where Daniel Faggella–the host–talks to the best minds in the data science space. The topics are more general like the evolution of AI chips, trends in machine learning, adoption of facial recognition, and more. This makes it suitable for both beginners and experts of the industry.
Not So Standard Deviation
Recently, Not So Standard Deviation completed its fifth anniversary of the phenomenal data science podcast. Roger Peng and Hilary Parker have been indulging in conversations for the last five years with data science experts to spread knowledge of the latest trends. You can find numerous hour-long episodes to stay informed of the ever-changing data science market.
Talking Machines is another classical machine learning podcast started in 2015, where the host talks to researchers from several blue-chip companies. However, Since June, the podcast has been paused for a while to reflect on the anti-black racism. Irrespective of the break, you can still listen to the wealth of past talks and gain exciting insights.
Several classical podcasts on data science have been either paused or stopped entirely, but you can still access their episodes to obtain knowledge from data science influencers. Although Data Crunch, Data Stories, Partial Derivative, and Linear Digressions are some of the closed or inactive podcasts, you should listen to these artificial intelligence podcasts based on your interests. Besides, you can also listen to other active machine learning podcasts such as SuperDataScience, Eye On AI, and Data Engineering to gain data science knowledge.