Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
…
continue reading
Вміст надано Jay Shah. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Jay Shah або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
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Player FM - додаток Podcast
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How did I get into Machine Learning research? | Sara Hooker, Azalia Mirhoseini & Natasha Jacques - Google
Manage episode 295999243 series 2859018
Вміст надано Jay Shah. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Jay Shah або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it.
Watch full podcasts with each of these speakers:
Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4
Sara Hooker: https://youtu.be/MHtbZls2uts
Natasha Jacques: https://youtu.be/8XpCnmvq49s
About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Checkout these Podcasts on YouTube: https://www.youtube.com/c/JayShahml
About the author: https://www.public.asu.edu/~jgshah1/
94 епізодів
Поширити
Manage episode 295999243 series 2859018
Вміст надано Jay Shah. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Jay Shah або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it.
Watch full podcasts with each of these speakers:
Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4
Sara Hooker: https://youtu.be/MHtbZls2uts
Natasha Jacques: https://youtu.be/8XpCnmvq49s
About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Checkout these Podcasts on YouTube: https://www.youtube.com/c/JayShahml
About the author: https://www.public.asu.edu/~jgshah1/
94 епізодів
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Схожі до Jay Shah Podcast
Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
…
continue reading
Trusted ER doctor Brian Goldman brings you honest and surprising stories that can change your health and your life. Expect deep conversations with patients, families and colleagues that show you what is and isn't working in Canadian healthcare. Guaranteed you’ll learn something new. Episodes drop every Friday.
…
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Whether we wear a lab coat or haven't seen a test tube since grade school, science is shaping all of our lives. And that means we all have science stories to tell. Every year, we host dozens of live shows all over the country, featuring all kinds of storytellers - researchers, doctors, and engineers of course, but also patients, poets, comedians, cops, and more. Some of our stories are heartbreaking, others are hilarious, but they're all true and all very personal. Welcome to The Story Collider!
…
continue reading
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continue reading
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…
continue reading
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Player FM - додаток Podcast
Переходьте в офлайн за допомогою програми Player FM !
Переходьте в офлайн за допомогою програми Player FM !
