Books in category Computers – Machine Theory

  • Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

    Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
    Stephen Boyd, Neal Parikh, Eric Chu

    Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic …

  • Reachability Problems

    Reachability Problems
    Matthew Hague, Igor Potapov

    This book constitutes the refereed proceedings of the 11th International Workshop on Reachability Problems, RP 2017, held in London, UK, in September 2017.

  • Performance Testing With JMeter 2 9

    Performance Testing With JMeter 2.9
    Bayo Erinle

    Performance Testing With JMeter 2.9 is a standard tutorial that will help you polish your fundamentals, guide you through various advanced topics, and along the process help you learn new tools and skills.This book is for developers, …

  • O Algoritmo Mestre

    O Algoritmo Mestre
    Pedro Domingos

    Livro inovador, O Algoritmo Mestre é o guia essencial para qualquer pessoa que queira saber não só como a revolução ocorrerá, mas como estar na dianteira.

  • Optimization for Machine Learning

    Optimization for Machine Learning
    Suvrit Sra, Sebastian Nowozin, Stephen J. Wright

    This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods.

  • Artificial Intelligence and Cognitive Science

    Artificial Intelligence and Cognitive Science
    Michael O’Neill, Richard F.E. Sutcliffe, Conor Ryan, Malachy Eaton

  • Lectures on Proof Verification and Approximation Algorithms

    Lectures on Proof Verification and Approximation Algorithms
    Ernst W. Mayr, Hans Jürgen Prömel, Angelika Steger

    This is a self-contained presentation of the enormous recent progress on the interplay between and applications of the theory of probabilistically checkable proofs and approximation algorithms.

  • Scala for Machine Learning

    Scala for Machine Learning
    Patrick R. Nicolas

    Are you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book!

  • Artificial Neural Networks ICANN 2008 18th International Part 2

    Artificial Neural Networks – ICANN 2008: 18th International …, Part 2
    Vera Kurkova-Pohlova, Jan Koutnik

    This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

  • Differential Privacy

    Differential Privacy
    Ninghui Li, Min Lyu, Dong Su, Weining Yang

    This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice.

1 2 3 4 5 Next >