03932nam 2200685 a 450 991045095520332120210519192043.01-282-39651-X978661239651990-474-0842-X1-4356-1461-510.1163/ej.9789004147317.i-50(CKB)1000000000410543(EBL)468488(OCoLC)609847279(SSID)ssj0000106080(PQKBManifestationID)11138453(PQKBTitleCode)TC0000106080(PQKBWorkID)10105415(PQKB)11470265(MiAaPQ)EBC468488(nllekb)BRILL9789047408420(PPN)174397380(Au-PeEL)EBL468488(CaPaEBR)ebr10355184(CaONFJC)MIL239651(EXLCZ)99100000000041054320060420d2006 uy 0engur|n|---|||||txtccrArticles 43-45[electronic resource] the UN Committee on the Rights of the Child /by Mieke Verheyde and Geert GoedertierLeiden ;Boston Martinus Nijhoff Publishers20061 online resource (66 p.)Commentary on the United Nations Convention on the Rights of the Child,1574-8626Description based upon print version of record.90-04-14731-4 Includes bibliographical references.Preliminary Material /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde --Chapter One. Introduction /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde --Chapter Two. The Crc Committee Situated within the United Nations Human Rights Apparatus /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde --Chapter Three. The Structure of the Crc Committee /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde --Chapter Four. The Actions of the Crc Committee /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde --Chapter Five. The Effectiveness of the Reporting Procedure /André Alen , Johan Vande Lanotte , Eugeen Verhellen , Fiona Ang , Eva Berghmans and Mieke Verheyde.This volume constitutes a commentary on Articles 43-45 of the United Nations Convention on the Rights of the Child. It is part of the series, A Commentary on the United Nations Convention on the Rights of the Child , which provides an article by article analysis of all substantive, organizational and procedural provisions of the CRC and its two Optional Protocols. For every article, a comparison with related human rights provisions is made, followed by an in-depth exploration of the nature and scope of State obligations deriving from that article. The series constitutes an essential tool for actors in the field of children’s rights, including academics, students, judges, grassroots workers, governmental, non- governmental and international officers. The series is sponsored by the Belgian Federal Science Policy Office .Commentary on the United Nations Convention on the Rights of the Child.Children (International law)ChildrenLegal status, laws, etcChildren's rightsElectronic books.Children (International law)ChildrenLegal status, laws, etc.Children's rights.341.48572Verheyde Mieke883887Goedertier Geert930864MiAaPQMiAaPQMiAaPQBOOK9910450955203321Articles 43-452094035UNINA04017nam 2200481 450 991079653390332120170926121532.0(CKB)4100000000880849(MiAaPQ)EBC5015713(WaSeSS)IndRDA00090924(CaSebORM)9781785283451(PPN)228010705(EXLCZ)99410000000088084920170926h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierMastering machine learning with spark 2.x create scalable machine learning applications to power a modern data-driven business using spark /Alex Tellez, Max Pumperla, Michal Malohlava1st editionBirmingham, England ;Mumbai, [India] :Packt,2017.©20171 online resource (320 pages) illustrations (some color)Includes index.1-78528-345-6 1-78528-241-7 Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial About This Book Process and analyze big data in a distributed and scalable way Write sophisticated Spark pipelines that incorporate elaborate extraction Build and use regression models to predict flight delays Who This Book Is For Are you a developer with a background in machine learning and statistics who is feeling limited by the current slow and ?small data? machine learning tools? Then this is the book for you! In this book, you will create scalable machine learning applications to power a modern data-driven business using Spark. We assume that you already know the machine learning concepts and algorithms and have Spark up and running (whether on a cluster or locally) and have a basic knowledge of the various libraries contained in Spark. What You Will Learn Use Spark streams to cluster tweets online Run the PageRank algorithm to compute user influence Perform complex manipulation of DataFrames using Spark Define Spark pipelines to compose individual data transformations Utilize generated models for off-line/on-line prediction Transfer the learning from an ensemble to a simpler Neural Network Understand basic graph properties and important graph operations Use GraphFrames, an extension of DataFrames to graphs, to study graphs using an elegant query language Use K-means algorithm to cluster movie reviews dataset In Detail The purpose of machine learning is to build systems that learn from data. Being able to understand trends and patterns in complex data is critical to success; it is one of the key strategies to unlock growth in the challenging contemporary marketplace today. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. This book gives you access to transform data into actionable knowledge. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to detect the Higgs Boson particle in the huge amount of data produced by CERN particle collider and classify daily health activities using ensemble Methods for Multi-Class Classification. Next, you will solve a typical regression problem involving flight delay predictions and write sophisticated Spark pipelines. You will analyze Twitter data with help of the doc2vec algorithm and K-means clustering...Machine learningMachine learningIndustrial applicationsMachine learning.Machine learningIndustrial applications.006.31Tellez Alex1565893Pumperla MaxMalohlava MichalMiAaPQMiAaPQMiAaPQBOOK9910796533903321Mastering machine learning with spark 2.x3835982UNINA