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1 - 12 de 12 resultados para “jeff m phillips”
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  • Mathematical Foundations for Data Analysis

    de Jeff M. Phillips ...
    Series series Mathematics and Statistics (R0)
    This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including ... Leer más

    $58.99 USD

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  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    de Philipp K. Janert ...
    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Leer más

    $23.99 USD

  • Probability, Markov Chains, Queues, and Simulation

    The Mathematical Basis of Performance Modeling

    de William J. Stewart ...
    Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a ... Leer más

    $117.39 USD

  • Numerical Methods

    Design, Analysis, and Computer Implementation of Algorithms

    de Anne Greenbaum, Tim P. Chartier ...
    A rigorous and comprehensive introduction to numerical analysisNumerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as ... Leer más

    $82.79 USD

  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    de Mike X Cohen ...
    If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world ... Leer más

    $48.99 USD

  • Linear Programming and Network Flows

    de Mokhtar S. Bazaraa, John J. Jarvis, Hanif D. Sherali ...
    The authoritative guide to modeling and solving complex problems with linear programming—extensively revised, expanded, and updatedThe only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic. This new edition continues to successfully emphasize ... Leer más

    $132.00 USD

  • Performance Analysis of Complex Networks and Systems

    de Piet Van Mieghem ...
    This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks ... Leer más

    $91.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Performance Modeling and Design of Computer Systems

    Queueing Theory in Action

    de Mor Harchol-Balter ...
    Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly ... Leer más

    $86.99 USD

  • Introduction to Applied Linear Algebra

    Vectors, Matrices, and Least Squares

    de Stephen Boyd, Lieven Vandenberghe ...
    This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and ... Leer más

    $47.99 USD

  • Information Theory: A Concise Introduction

    de Stefan Hollos, J. Richard Hollos ...
    Books on information theory tend to fall into one of two extreme categories. There are large academic textbooks that cover the subject with great depth and rigor. Probably the best known of these is the book by Cover and Thomas. At the other extreme are the popular books such as the ones by Pierce and Gleick. They provide a very superficial introduction to the subject, enough to engage in cocktail ... Leer más

    $9.95 USD o gratis con Kobo Plus

  • A First Course in Statistical Programming with R

    de W. John Braun, Duncan J. Murdoch ...
    This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground ... Leer más

    $46.99 USD