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Maatla Moadi

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Les fils d’actualité actuels, couplés aux modifications de l’algorithme (l’EdgeRank), ne laissent que peu de place aux annonceurs n’ayant pas un contenu engageant et/ou ne monétisant pas leur contenu. Un nouveau fil d’actualité annoncé le 7 mars 2013 par Facebook va être déployé ces prochaines semaines. En complémentarité avec ce nouveau fil, le Graph Search, moteur de recherche interne à Facebook, semble faire la part belle au SMO (Social Media Optimization) et à de nouvelles formes de monétisation. Facebook semble en effet toujours être en quête d’un équilibre entre engagement et monétisation pour les publications. Est-il parvenu à conceptualiser un savant mélange qui concilie les intérêts des utilisateurs, des actionnaires et des annonceurs ?

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Mal coder n’est pas une maladie ! Tout développeur passe par cette phase et cela peut provoquer un choc traumatique qui peut ressurgir des semaines, des mois voire des années après l’évènement. Les plus fragiles n’arrivent pas à faire face à cette souffrance et commettent des actes irréparables comme l’abandon du développement ou pire, s’entourent de logiciels aguicheurs promettant de créer des applications sans code ! Pour s’en sortir, il est important de comprendre ce que l’on vit et de se faire aider. Ce quickie est là pour aider les développeurs en souffrance. Vous pouvez vous en sortir !

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Le Graph Search est le moteur de recherche interne sur Facebook, qui permet d’effectuer des recherches croisées parmi les informations publiques complétées par ses utilisateurs. Encore en version bêta, il ne se limite pas aux profils personnels, mais intègre tout l'écosystème de Facebook pour apporter plus de pertinence. Pour une requête similaire, les résultats de recherche sont différents d’un utilisateur à l'autre. Le réseau, les amis, les intérêts ainsi que les informations personnelles rentrent en ligne de compte, mais également la proximité géographique et l’engagement sur une page. Découvrez dans cette présentation les enjeux soulevés par le Graph Search, l'importance des pages locales ainsi que les pistes à suivre pour optimiser votre présence et votre visibilité sur Facebook.

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Welcome to the April edition of WIPAC Monthly, the magazine brought to you by Water Industry Process Automation & Control. In this month's edition, along with the latest news from the industry we have articles on: The use of artificial intelligence and self-service platforms to improve water sustainability A feature article on measuring wastewater spills An article on the National Underground Asset Register Have a good month, Oliver

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LIST OF EXPERIMENTS: 1. Implement simple vector addition in Tensor Flow. 2. Implement a regression model in Keras. 3. Implement a perception in TensorFlow/Keras Environment. 4. Implement a Feed Forward Network in TensorFlow/Keras. 5. Implement an image classifier using CNN in TensorFlow/Keras. 6. Improve the deep Learning model by fine tuning hyper parameters. 7. Implement a Transfer Learning concept in image classification. 8. Using a pre trained model on Keras for transfer learning. 9. Perform Sentimental Analysis using RNN. 10. Implement an LSTM based Auto encoding inTensorflow/Keras. 11. Image generation using GAN. ADDITIONAL EXPERIMENTS 12. Train a deep Learning model to classify a given image using pre trained model. 13. Recommendation system from sales data using Deep Learning. 14. Implement Object detection using CNN. 15. Implement any simple Reinforcement Algorithm for an NLP problem.

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