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Alors que les vacanciers du mois écoulé regagnent leurs pénates, les "aoûtiens" s'apprêtent à investir les plages. À Locquirec, dans le Finistère, l'Hôtel de la Plage n'échappe pas au remue-ménage. Déjà, quelques habitués sont installés et attendent impatiemment les amis qu'ils retrouvent chaque année. C'est le temps des loisirs, de l'oisiveté, des intrigues amoureuses sous le soleil.
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Chronique de l'adolescence des années 65/70 et du rock, le film est né de la rencontre d'un assistant metteur en scène, Michel Lang, et de la femme du producteur Serge Silberman. Leur étroite collaboration sur tous les aspects du film en fera un immense succès populaire.
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Les amours, les rivalités, les désirs, d'un groupe de personnes qui se retrouvent chaque année pour les grandes vacances en Bretagne, à l'hôtel de la plage.
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Les amours, les rivalités, les désirs, d'un groupe de personnes qui se retrouvent chaque année pour les grandes vacances en Bretagne, à l'hôtel de la plage.
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Jews --- Biography. --- Germany (West) --- Ethnic relations. --- Hebrews --- Israelites --- Jewish people --- Jewry --- Judaic people --- Judaists --- Ethnology --- Religious adherents --- Semites --- Judaism --- Biography
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"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 developers Explanation and illustration of basic and advanced machine learning concepts Ready to use code samples that can be adapted by the user for their application Convenient and expressive machine learning pipelining enabling advanced modelling Coverage of topics that are often ignored in other machine learning books The 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"--
Machine learning --- R (Computer program language) --- Statistical methods.
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