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1-12 sur 12 résultats pour « olaf mersmann »
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  • Foundations of Statistical Algorithms

    With References to R Packages

    par Claus Weihs, Olaf Mersmann, Uwe Ligges ...
    Collections series Chapman & Hall/CRC Computer Science & Data Analysis
    A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical ... En savoir plus

    $130.99 CAD

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Modifié par Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Collections series Computer Science (R0)
    This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods ... En savoir plus

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  • Probability, Markov Chains, Queues, and Simulation

    The Mathematical Basis of Performance Modeling

    par 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 ... En savoir plus

    $179.19 CAD

  • Pattern Recognition

    par Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... En savoir plus

    $95.99 CAD

  • Python Deep Learning

    Next generation techniques to revolutionize computer vision, AI, speech and data analysis

    par Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...
    Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... En savoir plus

    $51.99 CAD ou Gratuit avec Kobo Plus

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    par 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, ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

  • Automated Machine Learning

    Methods, Systems, Challenges

    Modifié par Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Collections series The Springer Series on Challenges in Machine Learning
    This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... En savoir plus

    Gratuit

  • Gmdh-methodology And Implementation In Matlab

    par Godfrey C Onwubolu ...
    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... En savoir plus

    $47.99 CAD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    par Nithin Buduma, Nikhil Buduma, Joe Papa ...
    We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition ... En savoir plus

    $67.99 CAD

  • Deep Belief Nets in C++ and CUDA C: Volume 1

    Restricted Boltzmann Machines and Supervised Feedforward Networks

    par Timothy Masters ...
    Collections series Professional and Applied Computing (R0)
    Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards.The first of three in ... En savoir plus

    $38.99 CAD

  • Machine Learning

    a Concise Introduction

    par Steven W. Knox ...
    Collections Livre 285 - Wiley Series in Probability and Statistics
    **AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019Association of American Publishers Award for Professional and Scholarly Excellence**Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field ... En savoir plus

    $119.99 CAD

  • Data Mining Applications with R

    par Yonghua Cen, Yanchang Zhao ...
    Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. ... En savoir plus

    $70.99 CAD