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Gratitude and Links

Shreya expresses gratitude for the interview, emphasizing the enjoyable experience. Lukas encourages listeners to explore show notes for valuable resources and transcripts.
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    Gradient Dissent - A Machine Learning Podcast

    Operationalizing Machine Learning: Interview with Shreya Shankar

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    • I've been a Huberman Lab Premium subscriber for some time now, and I'm grateful to support the incredibly valuable work Andrew is doing. However, I have a few comments and questions I'd like to discuss. Firstly, my main reason for becoming a member was to access episode transcripts. While I enjoy listening to the podcast and watching episodes on YouTube, I am a visual learner and need to read the material to fully absorb it. Unfortunately, the platform currently offers very few transcripts. Is there a plan to provide transcripts for each episode? I think this would be a straightforward improvement that could greatly benefit visual learners like myself. Secondly, regarding the login process—would it be possible to add a simple login button and allow users to opt out of entering a verification code each time they sign in? Lastly, I want to express how much I appreciate all the work you do to inform and educate us. I couldn't recommend your content enough, and I’ll continue to do so whenever I have the opportunity.

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