“…He takes you behind the scenes, engaging with business leaders from Apple, Google, Facebook, Cisco, Intel, Amazon, Walmart, Starbucks, RSA, Kaiser, Cleveland Clinic, Intermountain Healthcare, and so on and with academic leaders from Stanford, Yale, Wharton, MIT, Coursera, Khan Academy, and more and reveals their winning strategies and execution tactics for your benefit. …”

“…The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. …”

“…A partire dai rapporti delle prefetture, delle questure e dei carabinieri, le relazioni della censura, del Pnf e dell’Ovra, i giornali, i diari e le lettere dell’epoca, gli autori ricostruiscono le storie di una minoranza di italiani che, all’indomani del delitto Matteotti e fino alla caduta del regime, continuò a esercitare il dissenso." -- Amazon…”

“…Mit Beiträgen von Ulf Abraham, Tobias Arand, Malte Brinkmann, Egbert Daum, Joachim Engel, Peter Fauser, Hans-Joachim Fischer, Raimund Girwidz, Alexander Glas, Ulla Gohl-Völker, Bernhard Grümme, Rüdiger Hein, Ulrich Heinen, Jörg Kessler, Constanze Kirchner, Jochen Krautz, Kerensa Lee, Gabriele Lieber, Laura Martignon, Roland Metzger, Monika Miller, Helmut Pape, Genea Pittman, Marcus Rauterberg, Markus Rehm, Caroline Roeder, Jost Schieren, Marcus Schrenk, Hubert Sowa, Roswitha Staege, Anke Thyen, Bettina Uhlig und Arne Wrobel." (Amazon)…”
Sumario

“…Il change de manière pérenne notre façon de percevoir ce plan, l’émergence de la Guerre Froide mais aussi l’après-Guerre Froide, pendant laquelle le futur de l’Europe et l’imbrication des États-Unis dans celui-ci, sont une fois encore en jeu." (Amazon)…”

“…El resultado es un fascinante relato de no ficción que transita por caminos poco habituales para construir un tapiz memorable donde caben las turbulencias de la historia española y europea del siglo xx, y cuya urdimbre es la voz moral de sus protagonistas -- Amazon…”

“…L’inauguration, le 21 septembre 1963, de la Grande Salle maintenant connue sous le nom de Wilfrid-Pelletier fut l’amorce d’un formidable mouvement de promotion et de développement des arts qui a transformé le paysage culturel du Québec et de sa métropole. …”

“…Puissent ces textes en leur incontestable naïveté amorcer un échange actif entre praticiens et théoriciens…”

“…La troisième partie étudie la structure des voies et leur impact dans l’organisation du paysage et amorce une réflexion sur l’aménagement et la mise en valeur des tronçons conservés. …”

“…Ces textes, nourris d’échanges passés, prolongent le dialogue amorcé avec Bernard Sicot sur l’exil espagnol suite à la guerre civile, la poésie et la traduction. …”

“…Serge Gruzinski a retrouvé la trace d'Indiens et d'Européens qui ont vécu cette période où, de l'autre côté de l'Atlantique, s'amorce l'occidentalisation du monde. Passionnante plongée dans le Mexique du XVIe siècle, son nouveau regard sur la Renaissance et les Amérindiens nous invite à observer comment les idées se métissent lorsque deux sociétés s'entrechoquent. …”

“…Amazones glorieuses, intrigantes perverses: que n'a-t-on dit et écrit de la Grande Mademoiselle ou de la duchesse de Chevreuse ? …”

“…Style and approach This book follows a step-by-step, practical approach to help automate and secure your cloud account structure in an Amazon Web Services (AWS) and OpenStack environment…”

“…By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way What you will learn Set up a deep learning development environment on Amazon Web Services (AWS) Apply GPU-powered instances as well as the deep learning AMI Implement seq-to-seq networks for modeling natural language processing (NLP) Develop an end-to-end speech recognition system Build a system for pixel-wise semantic labeling of an image Create a system that generates images and their regions Who this book is for Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. …”

“…Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. …”

“…Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. …”

“…In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. …”

“…Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. …”

“…You will find detailed coverage of the following topics: The advantages of Web services over other middleware technologies Various Web services business models, including those used by Google, Kinko's, Amazon, UPS, and T-Mobile The basics of XML, XSLT, SOA, WSDL, UDDI, and SOAP How W3C, OASIS, and WS-I are standardizing technologies and defining guidelines for interoperability Web services standards for security, transactions, and portlets Powerful features of Web services, including dynamic discovery and dynamic binding Using Web services for heterogeneous integration, managing legacy assets, and B2B electronic procurement Web services core products and platforms Evaluating Web services offerings based on such requirements as scalability, extensibility, and security With this book in hand, you will have a clear understanding of Web services, what the technology can do for your organization, and the direction in which you should be heading. …”

“…What you will learn Develop analytical thinking to precisely identify a business problem Wrangle data with dplyr, tidyr, and reshape2 Visualize data with ggplot2 Validate your supervised machine learning model using k-fold Optimize hyperparameters with grid and random search, and Bayesian optimization Deploy your model on Amazon Web Services (AWS) Lambda with plumber Improve your model's performance with feature selection and dimensionality reduction Who this book is for This book is specially designed for beginner and intermediate-level data analysts, data scientists, and data engineers who want to explore different methods of supervised machine learning and its use cases. …”