Posts Tagged :

    This Week in Machine Learning

    Intel Nervana Devcloud with Naveen Rao & Scott Apeland
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    In this episode, I talk to Naveen Rao, VP and GM of Intel’s AI Products Group, and Scott Apeland, director of Intel’s Developer Network. It’s been a few months since…

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    AI-Powered Conversational Interfaces with Paul Tepper
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    My guest for this show is Paul Tepper, worldwide head of cognitive innovation and product manager for machine learning & AI at Nuance Communications. We covered a bunch of topics, like voice UI design, behavioral biometrics and a ton of other interesting things that Nuance has in the works.

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    Topological Data Analysis with Gunnar Carlsson
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    My guest for this show is Gunnar Carlsson, professor emeritus of mathematics at Stanford University and president and co-founder of machine learning startup Ayasdi.

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    ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich
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    This time around, I speak with Mo Patel, practice director of AI & deep learning and Laura Frølich, data scientist, of Think Big Analytics. Mo and Laura joined me at the AI conference after their session on “Training vision models with public transportation datasets.”

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    Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica
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    I talk with Ion Stoica, professor of computer science & director of the RISE Lab at UC Berkeley. We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other projects RISE Lab is working on, like Clipper & Tegra.

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    Agile Machine Learning at Walmart with Jennifer Prendki
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    My guest this week is Jennifer Prendki, former senior data science manager and principal data scientist at Walmart Labs, since moved on to become head of data science at Atlassian. We focus on some of the practices she helped develop and implement at Walmart around the measurement and management of and more generally, building agile processes and teams for, machine learning.

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    Machine Teaching for Better Machine Learning with Mark Hammond
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    Today’s show, which concludes the first season of the Industrial AI Series, features my interview with Bonsai co-founder and CEO Mark Hammond. Mark describes the role of what he calls “machine teaching” in delivering practical machine learning solutions, particularly for enterprise or industrial AI use cases.

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    Marrying Physics-Based and Data Driven ML Models with Josh Bloom
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    This week we catch up with friend of the show, and first return guest, Josh Bloom, vice president of data & analytics at GE Digital. We catch up with Josh on his journey within GE and the work his team is doing around Industrial AI.

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    Cognitive Biases in Data Science with Drew Conway
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    This show features my interview with Drew Conway, Founder and CEO of Alluvium. The focus of our interview, and of Drew’s presentation, is an interesting set of observations he makes about the role of cognitive biases in data science.

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    Data Pipelines at Zymergen with Airflow with Erin Shellman
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    This show, TWiML Talk 41, features my interview with Erin Shellman, a statistician and data science manager with Zymergen, a company using robots and machine learning to engineer better microbes.

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