“…Lawrence Potter nos introduce en el fabuloso mundo de las matemáticas, desde los aspectos históricos más apasionantes -como la manera que tenían de contar los pitagóricos, el origen árabe del álgebra o la forma como aplicamos técnicas árabes, chinas y babilónicas para solventar ecuaciones- hasta la manera de resolver Sudoku s. …”

“…El propósito del autor era incorporar en cada Maraña (como la medicina hábilmente disimulada, aunque de manera inútil, en la mermelada que nos daban en nuestra tierna infancia) una o más cuestiones matemáticas -referentes a la Aritmética, el Álgebra, o la Geometría, según fuera el caso- para el entretenimiento, y posible instrucción, de los amables lectores de esa revista…”
Acceso restringido con credenciales UPSA

Acceso restringido usuarios UPSA

“…La primera está dedicada a la presentación de los principales comandos, lo que incluye aritmética básica, álgebra lineal, resolución de ecuaciones y sistemas de ecuaciones, límites, derivadas e integrales de funciones, ecuaciones y sistemas de ecuaciones en diferencias, ecuaciones y sistemas de ecuaciones diferenciales ordinarias, gráficas en 2D y 3D y una breve introducción a la programación. …”
Texto completo en Odilo

“…Procesos matemáticos en la educación secundaria. Aritmética y álgebra. Magnitudes y medida. Geometría. Funciones. …”
Texto completo en Odilo

“…The only prerequisites are calculus, linear algebra and basic analytic geometry. After studying the material, the reader will have a good understanding of basic geometry as well as a clear picture of the relations of this beautiful subject to other branches of mathematics. …”

“…Haeussler, Paul, and Wood establish an emphasison algebraic calculations that sets this text apart from other introductory,applied mathematics books. …”

“…Explore matrices, linear algebra, statistics, and probability. See how to evaluate and validate models. …”

“…Deterministic network calculus is a theory based on the (min,plus) algebra. Its aim is to compute worst-case performance bounds in communication networks. …”

“…The book is self-contained, defining basic concepts from linear and abstract algebra gradually as needed…”

“…Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. …”

“…Some competence in mathematics is needed to the level of elementary linear algebra and calculus. What You Will Learn Learn about machine learning landscapes along with the historical development and progress of deep learning Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x Access public datasets and utilize them using TensorFlow to load, process, and transform data Use TensorFlow on real-world datasets, including images, text, and more Learn how to evaluate the performance of your deep learning models Using deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applications In Detail Deep learning is the step that comes after machine learning, and has more advanced implementations. …”

“…You'll review classical DSP and other essential topics, including control system theory, curve fitting, and linear algebra. Along the way, you'll use LabVIEW's tools to construct practical applications that illuminate: Arbitrary waveform generation. …”

“…Topics covered include: numerical stability, interpolation, approximation, complexity, numerical linear algebra, differential equations (ordinary, partial), optimization, integral equations, systems of nonlinear equations, compression or distillation, and active learning…”

“…Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process Configure Jenkins and scale it using Docker-based agents Understand the principles and the technical aspects of a successful Continuous Delivery pipeline Create a complete Continuous Delivery process using modern tools: Docker, Jenkins, and Ansible Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins Create multi-container applications using Docker Compose Managing database changes inside the Continuous Delivery process and understand effective frameworks such as Cucumber and Flyweight Build clustering applications with Jenkins using Docker Swarm Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices In Detail The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. …”

“…The book begins with background on linear and multilinear algebra, general topology, and real analysis. This is followed by material on the classical theory of curves and surfaces, expanded to include both the Lorentz and Euclidean signatures. …”

“…Learn the core mathematical concepts for machine learning and learn to implement them in R and Python About This Video Linear algebra notation is used in machine learning to describe the parameters and structure of different machine learning algorithms. …”

“…Learners should have a basic understanding of linear algebra and calculus. Discover what overfitting means and how to recognize it in deep learning models Understand how to sample your data to reduce the likelihood of overfitting Learn about regularization and its use as a remedy for overfitting Laura Graesser is assisting in NVIDIA's autonomous driving project. …”

“…Prerequisites include a basic understanding of linear algebra and calculus. Learn what deep learning neural networks are, what they're used for, and why they're powerful Discover the particular structure of neural networks and why it matters Explore the basic concepts used in building and training neural networks Develop a solid platform for learning more about deep learning and neural networks Laura Graesser is assisting with NVIDIA's autonomous driving project. …”

“…In Galois Theory, Fifth Edition, mathematician and popular science author Ian Stewart updates this well-established textbook for today's algebra students. New to the Fifth Edition Reorganised and revised Chapters 7 and 13 New exercises and examples Expanded, updated references Further historical material on figures besides Galois: Omar Khayyam, Vandermonde, Ruffini, and Abel A new final chapter discussing other directions in which Galois theory has developed: the inverse Galois problem, differential Galois theory, and a (very) brief introduction to p-adic Galois representations This bestseller continues to deliver a rigorous, yet engaging, treatment of the subject while keeping pace with current educational requirements. …”