This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast This Week in Machine Learning & AI Podcast

    This Week in Machine Learning & AI Podcast

    Your guide to all that’s interesting and important in the world of machine learning and AI.

    Robotic Perception and Control with Chelsea Finn

    Our third guest in the Industrial AI series is Chelsea Finn,  PhD student at UC Berkeley. Despite being early in her career, Chelsea is an accomplished researcher with more than 14 published papers in the past 2 years, on subjects like Deep Visual Foresight , Model-Agnostic Meta-Learning and Visuomotor Learning to name a few. We discuss all of these topics in the show, as well as subjects like zero-shot, one-shot and few-shot learning.

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    Alekh Agarwal Interview - Interactive Machine Learning Systems
    Interactive Machine Learning Systems with Alekh Agarwal
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    This week my guest is Alekh Agarwal. Alekh is a researcher with Microsoft Research whose research is focused on Interactive Machine Learning.

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    Machine Learning for Cybersecurity with Evan Wright
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    This week my guest is Evan Wright, principal data scientist at cybersecurity startup Anomali. In my interview with Evan, he and I discussed about a number of topics surrounding the use of machine learning in cybersecurity.

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    Stefano Ermon Interview on This Week of Machine Learning & AI
    Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon
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    My guest this week is Stefano Ermon, Assistant Professor of Computer Science at Stanford University. Stefano and I discuss domain knowledge in machine learning models, dimensionality reduction, semi-supervised learning, proxy & transfer learning, and applying ML & AI to sustainability issues such as poverty, food security and the environment.

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    Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta
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    This week my guest is Shubho Sengupta, Research Scientist at Baidu. Shubho and I discuss how to scale deep learning, and we dig into various systems challenges including architecture, productionalization and operationalization.

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    Understanding Deep Neural Networks with Dr. James McCaffrey
    800 800 This Week in Machine Learning & AI Podcast

    My guest this week is Dr. James McCaffrey, research engineer with Microsoft Research. In this show James and I discuss the ins and outs of deep neural networks.

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    Reprogramming the Human Genome with AI featuring Brendan Frey
    800 800 This Week in Machine Learning & AI Podcast

    My guest this week is Brendan Frey, Professor of Engineering and Medicine at the University of Toronto and Co-Founder and CEO of the startup Deep Genomics.

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    TWiML Talk #11 – Hilary Mason – Building AI Products
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    My guest is Hilary Mason, founder of Fast Forward Labs and a leader in the data science community. We discuss practical advice for building AI products.

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    TWiML Talk #10 – Francisco Webber – Statistics vs Semantics for Natural Language Processing
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    My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. We discuss an approach to natural language understanding based on semantic representations of speech.

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    TWiML Talk #9 – Pascale Fung – Emotional AI: Teaching Computers Empathy
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    In this episode I interview HKUST professor Pascale Fung on her research into how we can teach computers and robots to be empathetic.

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    TWiML Talk #8 – Diogo Almeida – Deep Learning: Modular in Theory, Inflexible in Practice
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    In this interview, Diogo and I discuss some practical realities of deep learning; specifically the data, software, optimization and understanding issues surrounding deep learning.

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    TWiML Talk #7 – Carlos Guestrin – Explaining the Predictions of Machine Learning Models
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    Discussing the explainability of machine learning models with Carlos Guestrin, the Amazon professor of Machine Learning at the University of Washington.

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    TWiML Talk #6 – Angie Hugeback – Generating Labeled Training Data for Your ML/AI Models
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    Angie Hugeback is principal data scientist at Spare5, a company that helps customers generate the high-quality labeled training datasets for accurate machine learning models.

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