I love the podcast that Daniel and Chris produce. When I am in the car I like my 9 year old also listen to it. Recently AI vs devs that is not hosted by Daniel and Chris had an inappropriate language used. It would be nice to warn upfront so that I would not listen with my daughter. Thanks

Great content for people looking for pointers to different areas of generative AI.

If you're searching for an AI podcast that does more than just report the news, "Practical AI" is an absolute must-listen! As an AI consultant myself, I've found immense value in its insightful content that goes far beyond what typical AI podcasts offer. With a unique blend of hands-on advice and expert perspectives, this podcast equips you with knowledge that you can directly apply in your professional journey. For those immersed in the world of AI, "Practical AI" serves not just as a source of information, but as a tool for growth and advancement. Give it a listen, and let it transform your understanding of AI!

I wanted to like this podcast since it seemed to be geared toward the layman. But unfortunately, it way too jargony and, like so many experts, the host understands stands the concepts well, but does not know how to communicate them clearly to people who do not share his background in the material. One example is the mini-series on p values where as best I can tell, he never actually defines the p value at all. While I appreciate the hosts efforts to try and bring this information to the public, it is not working for me.

Honestly, I’m no Boomer, but the “like” thing really has to stop, and I say that with peach and love. It’s off-putting to the more professional listeners and just not a good look in general. You can still be engaging and entertaining. I’d point to your guest Travis Fischer as a really good example to follow. An example NOT to follow was Erin Mikail Staples. While her info was valuable, she was absolutely unlistenable. It was really a chore to get through that show. Cringe barely begins to describe it.

The guests are often interesting and so is the content, but the delivery makes it unbearable to listen to, like hosts using filler words every other second and getting lost in the arguments. The pod would work for starters in DS/ML and casual listeners but there isn’t enough quality for more senior folks

Useless podcast, these just siting around talking about their history.

I’ve just begun my journey into researching machine learning and AI more widely, and Practical AI has been a light in the dark! Friendly, level, engaged, and interesting. Can’t wait for the next episode.

These two really bring a complicated topic around AI and try to ensure that even the casual AI practitioner can understand. Love it!!!

I love listening to Practical AI when I go for a walk or run. Staying up to date on AI trends and getting the perspectives of industry leaders on the how AI is used, where it’s headed, and how to be ethical is a real treat. I learn something new every time I tune in!

I've been listening to Practical AI for a while now -- I've found it to be a useful way to keep up to date with current developments in industry regarding AI and machine learning. Highly recommended.

I'm currently majoring in Computer Systems Technology & wanting to pursue a career in Data Science using machine learning and things like that in the field. It's been hard to figure out what kinds of things I should be learning in my own time to better prepare for my future career. This podcast has really given me tremendous help in conceptualizing what it is that I want to do post-college. I highly recommend it to anyone and everyone.

A great listen if you're interested in data science and everything that goes into it! Fun to listen to and so many interesting topics covered!

A must-listen if you are interested in the topic of data science, machine learning, and artificial intelligence. Great interviews and conversations. I'm learning a lot!

Impressive work on spotting upcoming open source AI projects and interviewing their founders.

I’ve been listening to this podcast lately on my way to work, and I want to say I really enjoy the its scope and the practical aspects that it covers. I especially enjoyed episode 51 with Joel Grus as he shared a lot of his insights for programming for good science and have tried to embody his practices as well as watching some of his live coding sessions on Youtube, which are great. I’m doing research in NLP at a university and I’ve always felt like my research code was not quite professional and reader-friendly, and I made good use of the learning resources that this podcast always provides.