Vanishing Gradients

Episode Archive

Episode Archive

14 episodes of Vanishing Gradients since the first episode, which aired on February 16th, 2022.

  • Poster Image

    Episode 14: Decision Science, MLOps, and Machine Learning Everywhere

    November 20th, 2022  |  Season 1  |  1 hr 9 mins

    Hugo reads 3 audio essays about decision science, MLOps, and what happens when machine learning models are everywhere

  • Poster Image

    Episode 13: The Data Science Skills Gap, Economics, and Public Health

    October 11th, 2022  |  Season 1  |  1 hr 22 mins

    Hugo speaks with Norma Padron, CEO of EmpiricaLab, about data science education and continuous learning for people working in healthcare, broadly construed, along with how we can think about the democratization of data science skills more generally.

  • Poster Image

    Episode 12: Data Science for Social Media: Twitter and Reddit

    September 29th, 2022  |  Season 1  |  1 hr 32 mins

    Hugo speaks with Katie Bauer about her time working in data science at both Twitter and Reddit. At the time of recording, Katie was a data science manager at Twitter and prior to that, a founding member of the data team at Reddit.

  • Poster Image

    Episode 11: Data Science: The Great Stagnation

    September 15th, 2022  |  Season 1  |  1 hr 45 mins

    Hugo speaks with Mark Saroufim, an Applied AI Engineer at Meta who works on PyTorch where his team’s main focus is making it as easy as possible for people to deploy PyTorch in production outside Meta.

  • Poster Image

    Episode 10: Investing in Machine Learning

    August 18th, 2022  |  Season 1  |  1 hr 26 mins

    Hugo speaks with Sarah Catanzaro, General Partner at Amplify Partners, about investing in data science and machine learning tooling and where we see progress happening in the space.

  • Poster Image

    9: AutoML, Literate Programming, and Data Tooling Cargo Cults

    July 19th, 2022  |  Season 1  |  1 hr 41 mins

    Hugo speaks with Hamel Husain, Head of Data Science at Outerbounds, with extensive experience in data science consulting, at DataRobot, Airbnb, and Github.

  • Poster Image

    Episode 8: The Open Source Cybernetic Revolution

    May 16th, 2022  |  Season 1  |  1 hr 5 mins

    Hugo speaks with Peter Wang, CEO of Anaconda, about what the value proposition of data science actually is, data not as the new oil, but rather data as toxic, nuclear sludge, the fact that data isn’t real (and what we really have are frozen models), and the future promise of data science, Gifting economies with finite game economics thrust onto them.

    They also dive into an experimental conversation around open source software development as a model for the development of human civilization, in the context of developing systems that prize local generativity over global extractive principles. If that’s a mouthful, which it was, or an earful, which it may have been, all will be revealed in the conversation.

  • Poster Image

    Episode 7: The Evolution of Python for Data Science

    May 1st, 2022  |  Season 1  |  1 hr 2 mins
    ai, data science, machine learning, python

    Hugo speaks with Peter Wang, CEO of Anaconda, about how Python became so big in data science, machine learning, and AI. They jump into many of the technical and sociological beginnings of Python being used for data science, a history of PyData, the conda distribution, and NUMFOCUS.

  • Poster Image

    Episode 6: Bullshit Jobs in Data Science (and what to do about them)

    April 4th, 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.

  • Poster Image

    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.

  • Poster Image

    Episode 4: Machine Learning at T-Mobile

    March 9th, 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.

  • Poster Image

    Episode 3: Language Tech For All

    February 28th, 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.

  • Poster Image

    Episode 2: Making Data Science Uncool Again

    February 20th, 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.

  • Poster Image

    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.