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5 Podcasts Every Machine Learning Enthusiast Should Follow


5 Podcasts Every Machine Learning Enthusiast Should Follow
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Machine Learning is a massive field that has changed the world, and I bet it will grow. If you have followed the current trend, you can see AI and machine learning have slowly but surely integrated into people’s everyday lives, not just a tool for creating a business competitive edge but giving real value to people’s lives.

With how popular machine learning has become, people will try to enter this field. However, it’s hard to find a voice that could lead these enthusiasts to do something to enter the machine learning field. 

Luckily, many podcasts specifically discuss machine learning and the careers surrounding them. What are these podcasts? Let’s get into it.

 

 

The popular Machine Learning podcast hosted by Sam Charrington has been running since 2016 and has published hundreds of episodes. This Week in Machine Learning & AI is one of the longest-running machine learning podcasts and is still going strong. The podcast launches a new episode every week with various machine learning and AI expert guests coming to discuss the latest topics in the field.

The podcast topic discussion is often about the latest breakthrough in machine learning, such as new algorithms or methodology. But it could extend to anything related, such as implication, business usage, and ethical consideration.

The topic discussed might seem pretty advanced for the enthusiasts, but it could provide insight and inspiration for the future career you want. You’ll gain insights not found in textbooks or papers, ensuring you stay up-to-date with the latest findings.

 

 

The Machine Learning Podcast hosted by Tobias Macey is a machine learning focus podcast that run since 2022 and produce a monthly episode for the listener. This podcast brings various machine learning guests to discuss important topics in machine learning and what happens behind the scenes.

The topic could be the latest algorithms, techniques, tools, companies, or anything about machine learning. What is important is that each hourly episode wants the listener to get value and deliver impact from the machine learning to the business.

It’s a good podcast for enthusiasts wanting to know what happens in the business and why machine learning is important within companies. Don’t miss these podcasts if you want to have advantages in the machine learning field.

 

 

The Practical AI podcast hosted by Chris Benson and Daniel Whitenack provides a great addition to your machine learning listening list. The podcast has provided weekly episodes since 2018 to give listeners a more accessible way to understand machine learning and AI.

Many topics cover practical ways and high levels of machine learning so the listener can work outside the industry. However, it heavily focuses on current trending topics such as LLM, so it might not cover everything that happens in the machine learning industry.

The podcast is great for the enthusiast who wants to understand a high level of things and wants to catch up with what is happening in the world.

 

 

The Super Data Science Podcast hosted by Jon Krohn is not necessarily focused only on machine learning, as the topic encompasses the whole data science field. However, many episodes discuss beginner-friendly machine learning introduction and the related niche to teach the listeners better about the field.

The podcast has run since 2016 and still produces weekly hour-episode podcasts dedicated to the data science field. For the machine learning enthusiast, there are more than 100 episodes for you to listen to and learn from, so you don’t need to worry about exhausting all the episodes shortly.

 

 

The Machine Learning Street Talk podcast, which Tim Scarfe runs, is a top podcast that discusses many recent topics in machine learning and AI more casually. Sometimes, the episode could cover an in-depth discussion of the field, but sometimes, it is a debate between host and guest.

The podcast makes its promotion less serious than the other podcasts, so it’s great for enthusiasts afraid to enter the field because of the technical terms. You could listen to hundreds of episodes, although the schedule is not fixed, and the length could vary between 1 hour to 3 hours and more. 

 

 

These are the five podcasts for you machine learning enthusiasts. The podcast would bring you a fresh perspective on machine learning from the expert and give you insight into navigating the field. If you have any more podcast recommendations, please share them in the comments.
 
 

Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and Data tips via social media and writing media.



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