• Méthodologie des exercices juridiques - 5 exercices, 3 disciplines pan Agnès de Luget, Céline Laronde-Clérac

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    Caractéristiques

    • Méthodologie des exercices juridiques - 5 exercices, 3 disciplines
    • Agnès de Luget, Céline Laronde-Clérac
    • Nb. de pages: 163
    • Format: Pdf, ePub, MOBI, FB2
    • ISBN: 9782275064833
    • Editeur: LGDJ
    • Date de parution: 2019

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    Téléchargements gratuits d'ebook audio Méthodologie des exercices juridiques - 5 exercices, 3 disciplines 9782275064833

    Overview

    L'Art poétique de Boileau trouve justement à s'appliquer dans le domaine de l'apprentissage de la discipline juridique. Tout particulièrement dans un contexte de restrictions budgétaires et de "tout " numérique qui occulte le fait que l'apprentissage du droit passe par l'accompagnement que les enseignants-chercheurs doivent à l'étudiant afin qu'il puisse maîtriser les exercices juridiques destinés à former l'esprit juridique.
    La 5e édition de cet ouvrage, dans la lignée des précédentes, maintient le défi de proposer une approche novatrice de cinq de ces exercices - le commentaire d'arrêt, le cas pratique, le commentaire de texte, les questions à réponse courte et la dissertation juridique -, d'en déjouer les pièges sous le triple éclairage du droit privé, du droit public et de l'histoire du droit. L'originalité de l'ouvrage réside à la fois dans l'approche interdisciplinaire des exercices abordés, soulignant ainsi les similitudes comme les différences ou les spécificités, et le parti pris des auteurs de proposer au soutien de la compréhension de la méthodologie et de la réussite des exercices, nombre de tableaux, schémas et exercices corrigés.
    Les auteurs ont fait le choix du droit des associations pour fil conducteur de certaines illustrations. Ainsi le régime juridique et la liberté d'association nourrissent fiches et commentaires d'arrêt, cas pratique et dissertation.

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  • Dans le scriptorium pan Paul Auster

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    Caractéristiques

    • Dans le scriptorium
    • Paul Auster
    • Nb. de pages: 146
    • Format: Pdf, ePub, MOBI, FB2
    • ISBN: 9782742765607
    • Editeur: Actes Sud
    • Date de parution: 2007

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    Overview

    L'homme qui, ce jour-là, se réveille, désorienté, dans une chambre inconnue est à l'évidence âgé. Il ne sait plus qui il est, il ignore pourquoi il se retrouve assigné à résidence entre les quatre murs de cette pièce, percés d'une unique fenêtre, d'ailleurs condamnée, et d'une porte que des "visiteurs" vont franchir, dans un sens ou dans l'autre... Sur un bureau, sont soigneusement disposés une série de photographies en noir et blanc, deux manuscrits et un stylo.
    Qui est-il ? Et que lui veulent ses interlocuteurs, dont cette Anna qui lui donne du "Mr. Blank" et lui tient des propos où il est question de comprimés, d'un traitement en cours, mais aussi d'amour et de promesses ? Et qui sont ces autres qui, sous l'œil infatigable de la caméra enregistrant les minutes de l'ultime épreuve du vieil homme, s'acharnent à lui reprocher de les avoir jadis envoyés accomplir de mystérieuses missions dont certains d'entre eux sont revenus irrémédiablement détruits ? Revisitant les territoires de l'inquiétante étrangeté, où son œuvre s'enracine depuis son entrée en écriture, Paul Auster livre ici une étonnante variation sur la relation du romancier à ses personnages qui entre en résonance avec une interrogation profonde sur les responsabilités de l'Amérique contemporaine face à l'Histoire.
    Avec ce roman, un écrivain au sommet de sa notoriété accepte de se réinventer pour questionner les labyrinthes du langage et affronter de manière exemplaire les exigences de la fiction dans son essence même.

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  • Sins of the Fathers: A J.P. Beaumont Novel. J. A. Jance

    Sins of the Fathers: A J.P. Beaumont Novel


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    ISBN: 9780062944283 | 496 pages | 13 Mb

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    • Sins of the Fathers: A J.P. Beaumont Novel
    • J. A. Jance
    • Page: 496
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9780062944283
    • Publisher: HarperCollins Publishers
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  • Fashionopolis: The Price of Fast Fashion--and the Future of Clothes by Dana Thomas

    Download english books free pdf Fashionopolis: The Price of Fast Fashion--and the Future of Clothes MOBI by Dana Thomas 9780735224018


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    • Fashionopolis: The Price of Fast Fashion--and the Future of Clothes
    • Dana Thomas
    • Page: 320
    • Format: pdf, ePub, mobi, fb2
    • ISBN: 9780735224018
    • Publisher: Penguin Publishing Group

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  • Deep Learning. John D. Kelleher

    Deep Learning


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    ISBN: 9780262537551 | 296 pages | 8 Mb

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    • Deep Learning
    • John D. Kelleher
    • Page: 296
    • Format: pdf, ePub, fb2, mobi
    • ISBN: 9780262537551
    • Publisher: MIT Press
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    An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

    Neural networks and deep learning
    Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and  Deep Learning in Computer Vision | Coursera
    Learn Deep Learning in Computer Vision from National Research University Higher School of Economics. Deep learning added a huge boost to the already  Deep Learning for NLP: Creating a Chatbot with Keras! - KDnuggets
    In the previous post, we learned what Artificial Neural Networks and Deep Learning are. Also, some neural network structures for exploiting sequential data like  Deep Learning (Neural Networks) — H2O 3.26.0.2 documentation
    H2O's Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. What is deep learning (deep neural network)? - Definition from
    Deep learning is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain 



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