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Richard Liaw

8 Podcast Episodes

Latest 22 Jan 2022 | Updated Daily

Weekly hand curated podcast episodes for learning

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Hyperparameter Tuning with Richard Liaw

Machine Learning – Software Engineering Daily

Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer. A different set of hyperparameters will yield a different model. Thus, it is important to try different hyperparameter configurations to see which models end up performing better for a given application. Hyperparameter tuning is an art and a science. Richard Liaw is an engineer and researcher, and the creator of Tune, a library for scalable hyperparameter tuning. Richard joins the show to talk through hyperparameters and the software that he has built for tuning them. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Hyperparameter Tuning with Richard Liaw appeared first on Software Engineering Daily.

53mins

28 Aug 2020

Episode artwork

Hyperparameter Tuning with Richard Liaw

Software Engineering Daily

Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer. A different set of hyperparameters will yield a different model. Thus, it is important to try different hyperparameter configurations to see which models end up performing better for a given application. Hyperparameter tuning is an art and a science. Richard Liaw is an engineer and researcher, and the creator of Tune, a library for scalable hyperparameter tuning. Richard joins the show to talk through hyperparameters and the software that he has built for tuning them. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Hyperparameter Tuning with Richard Liaw appeared first on Software Engineering Daily.

53mins

28 Aug 2020

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Episode artwork

Hyperparameter Tuning with Richard Liaw

Podcast – Software Engineering Daily

Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer. A different set of hyperparameters will yield a different model. Thus, it is important to try different hyperparameter configurations to see which models end up performing better for a given application. Hyperparameter tuning is an art and a science. Richard Liaw is an engineer and researcher, and the creator of Tune, a library for scalable hyperparameter tuning. Richard joins the show to talk through hyperparameters and the software that he has built for tuning them. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Hyperparameter Tuning with Richard Liaw appeared first on Software Engineering Daily.

53mins

28 Aug 2020

Episode artwork

Hyperparameter Tuning with Richard Liaw

Software Daily

Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer.A different set of hyperparameters will yield a different model. Thus, it is important to try different hyperparameter configurations to see which models end up performing better for a given application. Hyperparameter tuning is an art and a science.Richard Liaw is an engineer and researcher, and the creator of Tune, a library for scalable hyperparameter tuning. Richard joins the show to talk through hyperparameters and the software that he has built for tuning them.

28 Aug 2020

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Ray Applications with Richard Liaw

Software Daily

Ray is a general purpose distributed computing framework. At a low level, Ray provides fault-tolerant primitives that support applications running across multiple processors. At a higher level, Ray supports scalable reinforcement learning, including the common problem of hyperparameter tuning.In a previous episode, we explored the primitives of Ray as well as Anyscale, the business built around Ray and reinforcement learning. In today’s episode, Richard Liaw explores some of the libraries and applications that sit on top of Ray. RLlib gives APIs for reinforcement learning such as policy serving and multi-agent environments. Tune gives developers an easy way to do scalable hyperparameter tuning, which is necessary for exploring different types of deep learning configurations. In a future show, we will explore Tune in more detail.

24 Jul 2020

Episode artwork

Ray Applications with Richard Liaw

Software Engineering Daily

Ray is a general purpose distributed computing framework. At a low level, Ray provides fault-tolerant primitives that support applications running across multiple processors. At a higher level, Ray supports scalable reinforcement learning, including the common problem of hyperparameter tuning. In a previous episode, we explored the primitives of Ray as well as Anyscale, the business built around Ray and reinforcement learning. In today’s episode, Richard Liaw explores some of the libraries and applications that sit on top of Ray.  RLlib gives APIs for reinforcement learning such as policy serving and multi-agent environments. Tune gives developers an easy way to do scalable hyperparameter tuning, which is necessary for exploring different types of deep learning configurations. In a future show, we will explore Tune in more detail. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Ray Applications with Richard Liaw appeared first on Software Engineering Daily.

48mins

24 Jul 2020

Episode artwork

Ray Applications with Richard Liaw

Data – Software Engineering Daily

Ray is a general purpose distributed computing framework. At a low level, Ray provides fault-tolerant primitives that support applications running across multiple processors. At a higher level, Ray supports scalable reinforcement learning, including the common problem of hyperparameter tuning. In a previous episode, we explored the primitives of Ray as well as Anyscale, the business built around Ray and reinforcement learning. In today’s episode, Richard Liaw explores some of the libraries and applications that sit on top of Ray.  RLlib gives APIs for reinforcement learning such as policy serving and multi-agent environments. Tune gives developers an easy way to do scalable hyperparameter tuning, which is necessary for exploring different types of deep learning configurations. In a future show, we will explore Tune in more detail. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Ray Applications with Richard Liaw appeared first on Software Engineering Daily.

48mins

24 Jul 2020

Episode artwork

Ray Applications with Richard Liaw

Podcast – Software Engineering Daily

Ray is a general purpose distributed computing framework. At a low level, Ray provides fault-tolerant primitives that support applications running across multiple processors. At a higher level, Ray supports scalable reinforcement learning, including the common problem of hyperparameter tuning. In a previous episode, we explored the primitives of Ray as well as Anyscale, the business built around Ray and reinforcement learning. In today’s episode, Richard Liaw explores some of the libraries and applications that sit on top of Ray.  RLlib gives APIs for reinforcement learning such as policy serving and multi-agent environments. Tune gives developers an easy way to do scalable hyperparameter tuning, which is necessary for exploring different types of deep learning configurations. In a future show, we will explore Tune in more detail. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Ray Applications with Richard Liaw appeared first on Software Engineering Daily.

48mins

24 Jul 2020