“…Cet ouvrage, placé sous le signe de l'attention et de l'altérité, tâches et horizon du poète, explore les interrogations majeures qui traversent une œuvre foisonnante mais encore méconnue : « la quête de l'innocence », les pouvoirs de la poésie et ses commencements, la tension entre le gouffre et le souffle, « l'amour filial » et la mort, la question du lieu et de l'Autre, le dialogue avec la musique et enfin le travail du traducteur, à propos de Blake. …”

“…Des centaines de personnes vivant avec le VIH sont recrutées par les institutions pour assurer des tâches diversifiées allant du ménage à la toilette de patients hospitalisés, en passant par la préparation des dossiers médicaux, l’éducation thérapeutique, la gestion de projets associatifs, ou encore l’animation de groupes d’entraide et d’équipes de soins à domicile. …”

“…Par où la raison cartésienne, sans rien épargner de nos préjugés et sans, pour autant, jamais dédaigner l’étude des pratiques intellectuelles les plus communes, s’adresse à tous les esprits. Sa tâche historique est donc claire : faire emprunter au sens commun le chemin de la modernité" -- Contracubierta…”

“…En el Oriente antiguo y grecorromano magia y religión se confundían, mientras que un cristiano de los primeros siglos que utilizara talismanes, encantamientos o procedimientos adivinatorios, contravenía las constituciones apostólicas -el cristianismo, desde su advenimiento, combatió vigorosamente todos los cultos orientales, y tachó de abominables los ritos y creencias relacionados con ellos-, de manera que la magia, disociada de la religión, rechazada, trató de aliarse a la filosofía y transformarse en ideología de oposición. …”

“…How can these threats be tackled? In this book, 10 experts from different backgrounds analyse the situation from various angles. …”

“…What You Will Learn Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda Use the package manager conda and discover, install, and use functionally efficient and scalable packages Get comfortable with heterogeneous data exploration using multiple languages within a project Perform distributed computing and use Anaconda Accelerate to optimize computational powers Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud Tackle advanced data prediction problems In Detail Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. …”

“…You'll later learn about the sales tax mechanism and multi-currency in Microsoft Dynamics 365. We tackle each topic with focused examples and explanations on topics such as payable/receivable accounts, forecasting, cash and bank management, budgeting planning/control, and fixed assets. …”

“…Throughout this book, you'll cover key daily tasks that are part of the development cycle of a real-world web application.By the end of this book, you'll have the skills and confidence to creatively tackle your own ambitious projects with Django.Key FeaturesUnderstand Django functionality and the Model-View-Template (MVT) paradigmCreate and iteratively build a book review website, adding features as you build your knowledgeExplore advanced concepts such as REST API implementation and third-party module integrationWhat you will learnCreate a new application and add models to describe your dataUse views and templates to control behavior and appearanceImplement access control through authentication and permissionsDevelop practical web forms to add features such as file uploadsDevelop a RESTful API and JavaScript code that communicates with itConnect to a database such as PostgreSQLWho this book is forWeb Development with Django is designed for programmers who want to gain web development skills with the Django framework. …”

“…By the end of this book, you will not only be able to tackle the common issues in the blockchain ecosystem but also design and build reliable, scalable distributed systems…”

“…In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains. …”

“…What you will learn Structure a GAN architecture in pseudocode Understand the common architecture for each of the GAN models you will build Implement different GAN architectures in TensorFlow and Keras Use different datasets to enable neural network functionality in GAN models Combine different GAN models and learn how to fine-tune them Produce a model that can take 2D images and produce 3D models Develop a GAN to do style transfer with Pix2Pix Who this book is for This book is for data scientists, machine learning developers, and deep learning practitioners looking for a quick reference to tackle challenges and tasks in the GAN domain. Familiarity with machine learning concepts and working knowledge of Python programming language will help you get the most out of the book…”

“…As it is well known the antibiotic-resistance strains of pathogenic bacteria are a major world problem, so that there is an urgent need of innovative technologies to tackle it. Most of the acquired resistances are spread by processes of horizontal gene transfer mediated by mobile elements in which DNA replication and gene expression are of basic interest. …”

“…We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. …”

“…Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. …”

“…The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. …”

“…What you will learn Become well versed with recipes that will help you interpret plots with R Formulate advanced statistical models in R to understand its concepts Perform Bayesian regression to predict models and input missing data Use time series analysis for modelling and forecasting temporal data Implement a range of regression techniques for efficient data modelling Get to grips with robust statistics and hidden Markov models Explore ANOVA (Analysis of Variance) and perform hypothesis testing Who this book is for If you are a quantitative researcher, statistician, data analyst, or data scientist looking to tackle various challenges in statistics, this book is what you need! …”

“…By the end of this book, you will be equipped with the skills you need to tackle any developmental setbacks when working with React. …”

“…Toward the final chapters, we'll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. …”

“…What you will learn Use tf.Keras for fast prototyping, building, and training deep learning neural network models Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications Understand image recognition techniques using TensorFlow Perform neural style transfer for image hybridization using a neural network Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. …”

“…What you will learn Understand the fundamental nature and workflow of predictive data modeling Explore how different types of visual and linguistic signals are processed by neural networks Dive into the mathematical and statistical ideas behind how networks learn from data Design and implement various neural networks such as CNNs, LSTMs, and GANs Use different architectures to tackle cognitive tasks and embed intelligence in systems Learn how to generate synthetic data and use augmentation strategies to improve your models Stay on top of the latest academic and commercial developments in the field of AI Who this book is for This book is for machine learning practitioners, deep learning researchers and AI enthusiasts who are looking to get well versed with different neural network architecture using Keras. …”