Shows

    Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif
    800 800 This Week in Machine Learning & AI

    For today’s show, the last in our TrainAI series, I’m joined by Qazaleh Mirsharif, a machine learning scientist working on computer vision at Figure Eight.

    Agile Data Science with Sarah Aerni
    800 800 This Week in Machine Learning & AI

    Today we continue our TrainAI series with Sarah Aerni, Director of Data Science at Salesforce Einstein.

    Tensor Operations for Machine Learning with Anima Anandkumar
    800 800 This Week in Machine Learning & AI

    In this episode of our TrainAI series, I sit down with Anima Anandkumar, Bren Professor at Caltech and Principal Scientist with Amazon Web Services.

    Deep Learning for Live-Cell Imaging with David Van Valen
    800 800 This Week in Machine Learning & AI

    In today’s show, I sit down with David Van Valen, assistant professor of Bioengineering & Biology at Caltech.

    Checking in with the Master with Garry Kasparov
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by legendary chess champion, author, and fellow at the Oxford Martin School, Garry Kasparov.

    Exploring AI-Generated Music with Taryn Southern
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Taryn Southern – a singer, digital storyteller and Youtuber, whose upcoming album I AM AI will be produced completely with AI based tools.

    Practical Deep Learning with Rachel Thomas
    800 800 This Week in Machine Learning & AI

    In this episode, i’m joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algebra course.

    Kinds of Intelligence: Types, Tests & Meeting the Needs of Society w/ Jose Hernandez-Orallo
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Jose Hernandez-Orallo, professor in the department of information systems and computing at Universitat Politècnica de València and fellow at the Leverhulme Centre for the Future of Intelligence, working on the Kinds of Intelligence Project.

    Taming arXiv w/ Natural Language Processing with John Bohannon
    800 800 This Week in Machine Learning & AI

    In this episode i’m joined by John Bohannan, Director of Science at AI startup Primer.

    Epsilon Software for Private Machine Learning with Chang Liu
    800 800 This Week in Machine Learning & AI

    In this episode, our final episode in the Differential Privacy series, I speak with Chang Liu, applied research scientist at Georgian Partners, a venture capital firm that invests in growth stage business software companies in the US and Canada.

    Scalable Differential Privacy for Deep Learning with Nicolas Papernot
    800 800 This Week in Machine Learning & AI

    In this episode of our Differential Privacy series, I’m joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University.

    Differential Privacy at Bluecore with Zahi Karam
    800 800 This Week in Machine Learning & AI

    In this episode of our Differential Privacy series, I’m joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing.

    Differential Privacy Theory & Practice with Aaron Roth
    800 800 This Week in Machine Learning & AI

    In the first episode of our Differential Privacy series, I’m joined by Aaron Roth, associate professor of computer science and information science at the University of Pennsylvania.

    Optimal Transport and Machine Learning with Marco Cuturi
    800 800 This Week in Machine Learning & AI

    In this episode, i’m joined by Marco Cuturi, professor of statistics at Université Paris-Saclay.

    Collecting and Annotating Data for AI with Kiran Vajapey
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Kiran Vajapey, a human-computer interaction developer at Figure Eight.

    Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum
    800 800 This Week in Machine Learning & AI

    Ok, In this episode, I’m joined by Christopher Lum, Research Assistant Professor in the University of Washington’s Department of Aeronautics and Astronautics.

    Infrastructure for Autonomous Vehicles with Missy Cummings
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering.

    Hyper-Personalizing the Customer Experience w/ AI with Rob Walker
    800 800 This Week in Machine Learning & AI

    In this episode, I speak with Rob Walker, vice president of decision management and analytics at Pegasystems, a leading provider of software for customer engagement and operational excellence.

    Information Extraction from Natural Document Formats with David Rosenberg
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and Charts in Natural Document Formats.”

    Human-in-the-Loop AI for Emergency Response and More with Robert Munro
    800 800 This Week in Machine Learning & AI

    In this episode, I chat with Rob Munro, CTO of the newly branded Figure Eight, formerly known as CrowdFlower.