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Vanishing Gradients

Vanishing Gradients

Hugo Bowne-Anderson
Date de sortie : 2022-02-21
© 2022 Hugo Bowne-Anderson
Vanishing Gradients - QR Code
LibreNew
2 épisodes
Audio
Écouter sur Apple Podcasts
LibreNew
2 épisodes
Audio
Écouter sur Apple Podcasts
Date de sortie : 2022-02-21
© 2022 Hugo Bowne-Anderson
L’épisode le plus récent
Episode 2: Making Data Science Uncool Again

Episode 2: Making Data Science Uncool Again

Hugo talks with Jeremy Howard about the past, present, and future of data science, machine learning, and AI, with a focus on the democratization of deep learning.
Durée : 1:45:45
Lecture
Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, the chair of WAMRI, and is Chief Scientist at platform.ai.
In this conversation, we’ll be talking about the history of data science, machine learning, and AI, where we’ve come from and where we’re going, how new techniques can be applied to real-world problems, whether it be deep learning to medicine or porting techniques from computer vision to NLP. We’ll also talk about what’s present and what’s missing in the ML skills revolution, what software engineering skills data scientists need to learn, how to cope in a space of such fragmented tooling, and paths for emerging out of the shadow of FAANG. If that’s not enough, we’ll jump into how spreading DS skills around the globe involves serious investments in education, building software, communities, and research, along with diving into the social challenges that the information age and the AI revolution (so to speak) bring with it.
But to get to all of this, you’ll need to listen to a few minutes of us chatting about chocolate biscuits in Australia!
Links
fast.ai · making neural nets uncool again
nbdev: create delightful python projects using Jupyter Notebooks
The fastai book, published as Jupyter Notebooks
Deep Learning for Coders with fastai and PyTorch
The wonderful and terrifying implications of computers that can learn -- Jeremy' awesome TED talk!
Manna by Marshall Brain
Ghost Work by Mary L. Gray and Siddharth Suri
Uberland by Alex Rosenblat
Id. d’épisode : 1000551710746
GUID : 65695b45-10a7-4785-adca-f1aeaa5818bc
Date de publication : 21/2/2022 à 00:00:00

Description

A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson.
It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world.

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https://feeds.fireside.fm/vanishinggradients/rss

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