“…Les avantages qu’il procure ne se manifestent cependant pas de manière automatique et se répartissent inégalement entre les pays, les secteurs et les collectivités locales. …”

“…Complete Coverage of New and Improved Inkscape 0.47 Features Complete vector drawing program supporting the W3C SVG standard Three path-drawing tools (Pencil, Pen, Calligraphy) Five shape-drawing tools (Rectangles, Ellipses, Stars, Spirals, 3D Boxes) Linear and Radial Gradients Pattern fills Tweak Tool for fine adjustment of paths and colors Eraser Tool with both Vector and Bitmap modes Sophisticated snapping for precision drawing and aligning objects Extendable through scripting; over a hundred scripts included Live Path Effects for tasks such as adding patterns along a path while maintaining complete editability Over 200 pre-built SVG filters for adding textures, manipulating color, and so forth A tiling tool to create complex tilings with thirteen different symmetries Clipping and Masking objects An integrated spell checker Built-in bitmap-to-vector tracing The ability to export to more than a dozen graphics formats, including PDF and PostScript The ability to import fro..…”

“…Moving forward, you'll learn how to perform linear scalability in databases with Apache Cassandra. …”

“…You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. …”

“…What You Will Learn Explore and make effective use of OpenCV's machine learning module Learn deep learning for computer vision with Python Master linear regression and regularization techniques Classify objects such as flower species, handwritten digits, and pedestrians Explore the effective use of support vector machines, boosted decision trees, and random forests Get acquainted with neural networks and Deep Learning to address real-world problems Discover hidden structures in your data using k-means clustering Get to grips with data pre-processing and feature engineering In Detail Machine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. …”

“…He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. …”

“…Control your machine learning algorithms using test-driven development to achieve quantifiable milestones About This Book Build smart extensions to pre-existing features at work that can help maximize their value Quantify your models to drive real improvement Take your knowledge of basic concepts, such as linear regression and Naïve Bayes classification, to the next level and productionalize their models Play what-if games with your models and techniques by following the test-driven exploration process Who This Book Is For This book is intended for data technologists (scientists, analysts, or developers) with previous machine learning experience who are also comfortable reading code in Python. …”

“…In The Career Lattice , career consultant and business journalist Joanne Cleaver gives you the insight, information, tools, and best practices you need to: Invest in the best training or continued education for your future goals Make smart lateral moves now to help you make upward moves later Network more strategically than ever See possibilities down the road that would otherwise have escaped you The Lattice is both more stable and more dynamic than the linear career ladder. No matter your age or career stage, latticing equips you to make yo..…”

“…Whether you're a student, professional, or manager, this video course will prepare you for the quantum computing revolution--and expand your career options, too. Master the linear algebra and other mathematical skills you'll need Explore key physics ideas, such as quantum states and uncertainty Review data structures, algorithms, and computing complexity Work with probability and set theory in quantum computing Familiarize yourself with basic quantum theory and formulae Understand quantum entanglement and quantum key distribution Discover how quantum computers are architected and built Explore several leading quantum algorithms Compare quantum and conventional asymmetric algorithms See how quantum computing might break traditional cryptography Discover several approaches to quantum-resistant cryptography Start coding with Q#, Microsoft's quantum programming language Simulate quantum gates and algorithms with QASM If you prefer a multimodal approach to learning, check out the Quantum Computing Fundamentals book by Chuck Easttom!…”

“…En effet, on constate dans tous les pays européens que les hommes et les femmes sont inégalement répartis selon les secteurs des médias, les spécialités journalistiques et selon les niveaux hiérarchiques. …”

“…En valorisant la diversité des approches et des disciplines, ce livre se veut aussi l’occasion de réfléchir à une articulation possible entre les différents types de classification qui permettent aujourd’hui de « lire » l’expertise et certains des enjeux majeurs qu’elle suscite : inégale distribution des savoirs, instabilité relative des...…”

“…Aus dem Inhalt: Datenanalytisches Denken lernen Der Data-Mining-Prozess Überwachtes und unüberwachtes Data Mining Einführung in die Vorhersagemodellbildung: von der Korrelation zur überwachten Segmentierung Anhand der Daten optimale Modellparameter finden mit Verfahren wie lineare und logistische Regression sowie Support Vector Machines Prinzip und Berechnung der Ähnlichkeit Nächste-Nachbarn-Methoden und Clustering Entscheidungsanalyse I: Was ist ein gutes Modell Visualisierung der Leistung von Modellen Evidenz und Wahrscheinlichkeiten Texte repräsentieren und auswerten Entscheidungsanalyse II: Analytisches Engineering Data Science und Geschäftsstrategie…”

“…Complete Coverage of New and Improved Inkscape 0.48 Features Live Path Effects for tasks such as adding patterns along a path while maintaining complete editability More than two hundred pre-built SVG filters for adding textures, manipulating color, and so forth A tiling tool to create complex tilings with thirteen different symmetries Clipping and Masking objects An integrated spell checker Built-in bitmap-to-vector tracing The ability to export to more than a dozen graphics formats, including PDF and PostScript The ability to import from more than two dozen graphics formats, including PDF, Adobe Illustrator, Corel Draw, AutoCad, and XFig Graphics Complete vector drawing program supporting the W3C SVG standard Three path-drawing tools (Pencil, Pen, Calligraphy) Five shape-drawing tools (Rectangles, Ellipses, Stars, Spirals, 3D Boxes) Linear and Radial Gradients Pattern fills Tweak Tool for fine adjus..…”

“…The theory is limited to a strict minimum: a little bit on binary numbers, a short presentation of logical operators, and some limited linear algebra. And we stay far away from doing floating point conversions. …”

“…Next, you’ll work with the Unreal Engine Sequencer, which is similar to a non-linear editor. You will set up your scene, complete with spaceship interiors, Exile Alien characters, lights, smoke effects, and cameras, and get it ready for animation. …”

“…Strong working knowledge of Python, linear algebra, and machine learning is a must. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/TrainingByPackt/Deep-Learning-for-Natural-Language-Processing . …”

“…After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. …”

“…What you will learn Build gradient boosting models from scratch Develop XGBoost regressors and classifiers with accuracy and speed Analyze variance and bias in terms of fine-tuning XGBoost hyperparameters Automatically correct missing values and scale imbalanced data Apply alternative base learners like dart, linear models, and XGBoost random forests Customize transformers and pipelines to deploy XGBoost models Build non-correlated ensembles and stack XGBoost models to increase accuracy Who this book is for This book is for data science professionals and enthusiasts, data analysts, and developers who want to build fast and accurate machine learning models that scale with big data. …”

“…Unreal Engine is a complete suite of creation tools for game development, architectural and automotive visualization, linear film and television content creation, broadcast and live event production, training and simulation, and other real-time applications. …”

“…These methods also unshackle them from the constraints of overly analytical thinking and linear problem solving that our education places so much emphasis on, as well as from the fear of failure, all of which thwart so many of us in trying to be more innovative. …”