Practical AI: Machine Learning, Data Science

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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Recent Episodes
  • Orchestrating agents, APIs, and MCP servers
    Apr 14, 2025 – 42:52
  • Software and hardware acceleration with Groq
    Apr 2, 2025 – 43:24
  • AI-assisted coding with GitHub's COO
    Mar 21, 2025 – 50:04
  • Optimizing for efficiency with IBM’s Granite
    Mar 14, 2025 – 43:38
  • Build a workspace of AI agents
    Mar 8, 2025 – 47:39
  • GenAI hot takes and bad use cases
    Feb 24, 2025 – 30:36
  • Tool calling and agents
    Feb 14, 2025 – 45:00
  • Deep-dive into DeepSeek
    Jan 31, 2025 – 50:47
  • Video generation with realistic motion
    Jan 23, 2025 – 45:09
  • Mozart to Megadeth at CHRP
    Dec 19, 2024 – 53:53
  • Sidekick is an AI Shopify expert
    Dec 11, 2024 – 51:37
  • Full-duplex, real-time dialogue with Kyutai
    Dec 4, 2024 – 50:03
  • Clones, commerce & campaigns
    Nov 29, 2024 – 53:11
  • scikit-learn & data science you own
    Nov 19, 2024 – 52:02
  • Creating tested, reliable AI applications
    Nov 13, 2024 – 50:07
  • AI is changing the cybersecurity threat landscape
    Nov 5, 2024 – 55:23
  • The path towards trustworthy AI
    Oct 29, 2024 – 51:44
  • Big data is dead, analytics is alive
    Oct 24, 2024 – 50:19
  • Practical workflow orchestration
    Oct 15, 2024 – 58:24
  • Towards high-quality (maybe synthetic) datasets
    Oct 9, 2024 – 57:02
  • Understanding what's possible, doable & scalable
    Oct 3, 2024 – 01:02:21
  • GraphRAG (beyond the hype)
    Sep 25, 2024 – 55:02
  • Pausing to think about scikit-learn & OpenAI o1
    Sep 17, 2024 – 50:10
  • Cybersecurity in the GenAI age
    Sep 11, 2024 – 51:34
  • AI is more than GenAI
    Sep 5, 2024 – 40:03
  • Metrics Driven Development
    Aug 29, 2024 – 42:12
  • Threat modeling LLM apps
    Aug 22, 2024 – 54:38
  • Only as good as the data
    Aug 14, 2024 – 45:41
  • Gaudi processors & Intel's AI portfolio
    Aug 7, 2024 – 46:28
  • Broccoli AI at its best 🥦
    Jul 31, 2024 – 42:31
  • Hyperventilating over the Gartner AI Hype Cycle
    Jul 24, 2024 – 55:09
  • The first real-time voice assistant
    Jul 18, 2024 – 43:21
  • Vectoring in on Pinecone
    Jul 10, 2024 – 44:11
  • Stanford's AI Index Report 2024
    Jul 2, 2024 – 47:04
  • Apple Intelligence & Advanced RAG
    Jun 25, 2024 – 45:06
  • The perplexities of information retrieval
    Jun 19, 2024 – 46:06
  • Using edge models to find sensitive data
    Jun 13, 2024 – 38:28
  • Rise of the AI PC & local LLMs
    Jun 4, 2024 – 35:35
  • AI in the U.S. Congress
    May 29, 2024 – 40:48
  • First impressions of GPT-4o
    May 21, 2024 – 43:28
  • Full-stack approach for effective AI agents
    May 15, 2024 – 47:02
  • Autonomous fighter jets?!
    May 8, 2024 – 41:11
  • Private, open source chat UIs
    Apr 30, 2024 – 38:25
  • Mamba & Jamba
    Apr 24, 2024 – 41:13
  • Udio & the age of multi-modal AI
    Apr 16, 2024 – 38:52
  • RAG continues to rise
    Apr 10, 2024 – 48:19
  • Should kids still learn to code?
    Apr 2, 2024 – 39:20
  • AI vs software devs
    Mar 26, 2024 – 57:00
  • Prompting the future
    Mar 20, 2024 – 45:59
  • Generating the future of art & entertainment
    Mar 12, 2024 – 42:06
Recent Reviews
  • Klangurteil
    Six Stars - Relevant, Insightful & Helpful
    IMO the best operator-focused AI/LLM podcast.
  • Iphone Lover 2008
    Language used was inappropriate
    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
  • Dean Sharma
    Loving it
    Great content for people looking for pointers to different areas of generative AI.
  • Mikoo231
    Your Essential Tool for AI Mastery
    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!
  • GOPGambler
    Not great for the layman
    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.
  • Sad_Truth
    Pretty good, but Daniel needs to stop saying “like”
    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.
  • polin9
    Decent content, hard to listen
    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
  • sulemanb
    Not practical at all
    Useless podcast, these just siting around talking about their history.
  • luckychaparro
    Excellent for beginners!
    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.
  • Josben73
    My favorite pod
    These two really bring a complicated topic around AI and try to ensure that even the casual AI practitioner can understand. Love it!!!
  • Juliet montag
    Great discussions on AI
    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!
  • ninevolt
    Learn something new every episode
    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.
  • Meditative-Silence
    As a college student, love it
    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.
  • devMailey
    Fun and interesting!
    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!
  • mtokudome
    Invaluable content
    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!
  • atxbg
    Grass roots detector of great open source AI projects
    Impressive work on spotting upcoming open source AI projects and interviewing their founders.
  • doij790
    Great scope and content of AI related topics
    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.
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