Vanishing Gradients
a data podcast with hugo bowne-anderson
About the show
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.
Episodes
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Episode 6: Bullshit Jobs in Data Science (and what to do about them)
April 5th, 2022 | Season 1 | 1 hr 27 mins
Hugo speaks with Jacqueline Nolis, Chief Product Officer at Saturn Cloud (formerly Head of Data Science), about all types of failure modes in data science, ML, and AI, and they delve into bullshit jobs in data science (yes, that’s a technical term, as you’ll find out) –they discuss the elements that are bullshit, the elements that aren’t, and how to increase the ratio of the latter to the former.
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Episode 5: Executive Data Science
March 23rd, 2022 | Season 1 | 1 hr 48 mins
ai, data science, machine learning
Hugo speaks with Jim Savage, the Director of Data Science at Schmidt Futures, about the need for data science in executive training and decision, what data scientists can learn from economists, the perils of "data for good", and why you should always be integrating your loss function over your posterior.
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Episode 4: Machine Learning at T-Mobile
March 10th, 2022 | Season 1 | 1 hr 44 mins
Hugo speaks with Heather Nolis, Principal Machine Learning engineer at T-mobile, about what data science, machine learning, and AI look like at T-mobile, along with Heather’s path from a software development intern there to principal ML engineer running a team of 15.
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Episode 3: Language Tech For All
March 1st, 2022 | Season 1 | 1 hr 32 mins
Hugo speaks with Rachael Tatman about the democratization of natural language processing, conversational AI, and chatbots, including, among other things, the data scientist’s responsibility to end-users and stakeholders.
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Episode 2: Making Data Science Uncool Again
February 21st, 2022 | Season 1 | 1 hr 45 mins
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.
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Episode 1: Introducing Vanishing Gradients
February 16th, 2022 | Season 1 | 5 mins 29 secs
In this episode, Hugo introduces the new data science podcast Vanishing Gradients.