Tabla de Contenidos: “…Appendix: Proofs; References; Chapter 5. Algebraic methods after prewhitening; 5.1. Introduction; 5.2. …”

“…Sin embargo, han realizado grandes aportaciones al álgebra, a la geometría o al cálculo, por citar algunas disciplinas. …”
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Tutorial de uso Xebook

“…Actualment és catedràtic d'Àlgebra de la Universitat de València…”
Texto completo en Odilo

“…Part 1, The Emergence of Sets within Mathematics, surveys the initial motivations for a mathematical notion of a set within several branches of the discipline (geometry, algebra, algebraic number theory, real and complex analysis), emphasizing the role played by Riemann in fostering acceptance of the set-theoretic approach. …”

“…Intended as an intermediate microeconomics text,Perloff introduces economic theory through a combination of calculus, algebra,and graphs. It then integrates estimated, real-life problems and applications,using a step-by-step approach to demonstrate how microeconomic theory can beapplied to solve practical problems and policy issues. …”

“…Course prerequisites include basic knowledge of linear algebra, probability, statistics, and familiarity with R. …”

“…What You Will Learn Manipulate the key attributes and universal functions of NumPy Utilize matrix and mathematical computation using linear algebra modules Implement regression and curve fitting for models Perform time frequency / spectral density analysis using the Fourier Transform modules Collate with the distutils and setuptools modules used by other Python libraries Establish Cython with NumPy arrays Write extension modules for NumPy code using the C API Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits In Detail In today's world of science and technology, it's all about speed and flexibility. …”

“…Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. …”

“…Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more. …”

“…What You Will Learn Learn concepts of data modelling and relation algebra Install and set up PostgreSQL database server and client software Implement data structures in PostgreSQL Manipulate data in the database using SQL Implement data processing logic in the database with stored functions, triggers and views Test database solutions and assess the performance Integrate database with Java applications Detailed knowledge of the main PostgreSQL building objects, most used extensions Practice database development life cycle including analysis, modelling, (documentation), testing, bug fixes and refactoring In Detail PostgreSQL is one of the most powerful and easy to use database management systems. …”

“…Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. …”

“…If you’re familiar with high school Algebra 2 and basic statistics, you’re good to go. …”

“…Furthermore, a refresher chapter on vector algebra, including gradient, divergence and curl operation is included. …”

“…An understanding of basic mathematics is required, and some knowledge of linear algebra and differential calculus will allow the viewer to understand all of the subtle details. …”

“…Banach space theory is presented in a broad mathematical context, using tools from such areas as set theory, topology, algebra, combinatorics, probability theory, and logic. …”

“…It relies on intuition, not advanced math: readers will find basic algebra sufficient to understand it and begin using its methods. …”

“…Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. …”

“…The following two chapters lay down necessary foundations in calculus and algebra. Part II consists of a classical course in probability and statistics, and the author stresses the use of many examples and counter-examples. …”

“…Prerequisites include an understanding of algebra, basic calculus, and basic Python skills. …”

“…Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. …”