Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
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Discussing Databricks with Ming Chang from Raybeam (part of DEPT®)
Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker) more
Chatting with co-workers about the role of DevOps in a machine learning engineer's life more
thank you so much :)
Tyler’s style of teaching is exactly what I’ve been looking for for years. He does a really fantastic job of explaining otherwise complicated Machine Learning topics in a way that beginners can easily understand and conceptualize. His use of analogies helped me create practical mental models of machine learning concepts. Really looking forward to completing this series and for more content. @Tyler Thank you for all the effort in putting this together!!
Wow, this podcast is an amazing chance for curious minds. Absolutely hard recommend it!
This podcast has been my daily routine for a while. I’ve been trying to finish Andrew Ng course but really haven’t got much time to do so lately. This podcast helps me to gain some basic insides so next time when I come across the concepts, my memory gots reinforced. Also I love how the host always use interesting analogy to help understanding. And I really like how he doesn’t use loud sound effects in the middle when I listen to sleep. Please keep going with your amazing work!!
Highly recommended, easy to follow concept, ideas and methods…!..
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Machine Learning Guide launched 5 years ago and published 48 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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