Tag: machine learning

Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler

Filed in Episodes by on September 29, 2021 0 Comments
Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler

Luis Ceze, CEO and co-founder of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of target architectures. Luis talks about the complexity in writing assembly code on different hardware targets for machine learning which contains predominantly numerical operations that benefit from specialized vector/tensor instructions and special memory layouts. Host […]

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Episode 473: Mike Del Balso on Feature Stores

Filed in Episodes by on August 19, 2021 0 Comments
Episode 473: Mike Del Balso on Feature Stores

Mike Del Balso co-founder of Tecton discusses Feature Stores and how it helps operationalize Machine Learning. Akshay spoke with Mike about data engineering challenges to connect signals that make a feature from various data sources to a Machine Learning Model during training and to serve it in production. Mike talks about challenges faced by engineering […]

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Episode 444: Tug Grall on Redis

Filed in Episodes by on January 30, 2021 0 Comments
Episode 444: Tug Grall on Redis

Tug Grall of Redis Labs discusses Redis, its evolution over the years, and emerging use cases today. Host Akshay spoke with Tug about Redis’ fundamental data structures and their common uses, its module based ecosystem and Redis’ applicability in a wide range of applications beyond being a layer for caching data such as search, machine […]

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Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning

Filed in Episodes by on January 10, 2020 0 Comments
Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning

Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning. Host Justin Beyer spoke with Jarmul about attacks that can be leveraged against data pipelines and machine learning models; attack types – adversarial example, model inference, deanonymization; and how they can be utilized to manipulate model outcomes; the dangers of […]

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Episode 391: Jeremy Howard on Deep Learning and fast.ai

Filed in Episodes by on December 6, 2019 0 Comments
Episode 391: Jeremy Howard on Deep Learning and fast.ai

Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop graphics hardware. Jeremy and host Nate Black discuss neural network architecture and deep learning models, using pre-trained models from a […]

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