Bischl bernd (37 résultats)

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Etat : New.

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Etat : New. 1st edition NO-PA16APR2015-KAP.

Etat : As New. Unread book in perfect condition.

Etat : New. 2024. 1st Edition. paperback. . . . . .

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Etat : New. In English.

Paperback. Etat : New. mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components.Features:In-depth coverage of the mlr3 ecosystem for users and developersExplanation and illustration of basic and advanced machine learning conceptsReady to use code samples that can be adapted by the user for their applicationConvenient and expressive machine learning pipelining enabling advanced modellingCoverage of topics that are often ignored in other machine learning booksThe book is primarily aimed at researchers, practitioners, and graduate students who use machine learning or who are interested in using it. It can be used as a textbook for an introductory or advanced machine learning class that uses R, as a reference for people who work with machine learning methods, and in industry for exploratory experiments in machine learning.…

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Etat : New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Etat : New. Bernd Bischl is a professor of Statistical Learning and Data Science in LMU Munich and co-director of the Munich Center for Machine Learning. He studied Computer Science, Artificial Intelligence and Data Science and holds a PhD in statistics. His .

Paperback. Etat : Brand New. 360 pages. 10.00x7.00x0.79 inches. In Stock.

Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Paperback. Etat : New. mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components.Features:In-depth coverage of the mlr3 ecosystem for users and developersExplanation and illustration of basic and advanced machine learning conceptsReady to use code samples that can be adapted by the user for their applicationConvenient and expressive machine learning pipelining enabling advanced modellingCoverage of topics that are often ignored in other machine learning booksThe book is primarily aimed at researchers, practitioners, and graduate students who use machine learning or who are interested in using it. It can be used as a textbook for an introductory or advanced machine learning class that uses R, as a reference for people who work with machine learning methods, and in industry for exploratory experiments in machine learning.…

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. 1st edition NO-PA16APR2015-KAP.

Etat : New.

Etat : New.

Etat : New. In English.

Hardcover. Etat : Brand New. 360 pages. 10.00x7.00x0.87 inches. In Stock.

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