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Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer vision and NLP techniques Book Description Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate tec...
Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features: Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer vision and NLP techniques Book Description: Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate t...
Take your software to the next level and solve real-world data science problems by building production-ready machine learning solutions using LightGBM and Python Key Features Get started with LightGBM, a powerful gradient-boosting library for building ML solutions Apply data science processes to real-world problems through case studies Elevate your software by building machine learning solutions on scalable platforms Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMachine Learning with LightGBM and Python is a comprehensive guide to learning the basics of machine learning and progressing to building scalable machine learning systems that are ready for release. ...
"Nearly four hundred and fifty years in, ballet still resonates-though the stages have become international, and the dancers, athletes far removed from noble amateurs. While vibrations from the form's beginnings clearly resound, much has transformed. Nowadays ballet dancers aspire to work across disciplines with choreographers who value a myriad of abilities. Dance theorists and historians make known possibilities and polemics in lieu of notating dances verbatim, and critics do the daily work of recording performance histories and interviewing artists. Ideas circulate, questions arise, and discussions about how to resist ballet's outmoded traditions take precedence. In the dance community, c...
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L'imagerie médicale remonte à la fin du XIXe siècle avec la découverte des rayons X par Röntgen. Depuis, de nombreuses modalités d'imagerie ont été développées, et sont aujourd'hui utilisées dans une large gamme d'indications cliniques. L'imagerie TEP (Tomographie par Émission de Positron) est une modalité fonctionnelle, quantitative et ayant une haute sensibilité, ce qui en fait une modalité de choix, notamment en cancérologie. Hélas, sa diffusion est freinée en comparaison avec le scanner ou l'imagerie par résonance magnétique, en raison de son coût notamment. C'est dans ce contexte que s'insère cette thèse, qui a pour objectif de montrer la faisabilité d'un imageur...
Written by leading authorities in the field of European civil procedure and collective redress, this timely book explores the model collective proceedings rules in the ELI/UNDROIT European Rules of Civil Procedure. It explains the intended application of this ‘best practice’ set of collective redress rules, intended to promote greater consistency in civil and commercial court procedure across Europe, linking to existing European practice and initiatives in the field.