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Showing 1 - 12 of 12 results for “michael bühlmann”
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  • Modeling of Gas-to-Particle Mass Transfer in Turbulent Flows

    by Michael Bühlmann, Sean C. Garrick ...
    Series series Engineering (R0)
    This Brief focuses on the dispersion of high-porosity particles, their entrainment into the vapor-laden stream, and the condensation of vapor onto the particles. The authors begin with a simple/static problem, focusing on transport within the particle. They go on to consider the high-resolution simulation of particles in a turbulent flow and the time-dependent evolution of the fluid-particle ... Read more

    $64.99 CAD

  • Handbook of Big Data

    Edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan ...
    Series series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical ... Read more

    $150.99 CAD

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  • Understanding Deep Learning

    by Simon J.D. Prince ...
    An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent ... Read more

    $103.99 CAD

  • Introduction to Machine Learning, fourth edition

    by Ethem Alpaydin ...
    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Read more

    $95.99 CAD

  • Pathways to Machine Learning and Soft Computing

    邁向機器學習與軟計算之路（國際英文版）

    by Jyh-Horng Jeng, 鄭志宏 ...
    This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks (ANNs), Radial Basis Function Networks (RBFNs), Fuzzy Neural Networks (FNNs), Support Vector Machines (SVMs), and Wilcoxon Learning Machines (WLMs). The soft computing methods include Genetic ... Read more

    $8.99 CAD or Free with Kobo Plus

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    by Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Read more

    $140.99 CAD

  • Informed Machine Learning

    Edited by Daniel Schulz, Christian Bauckhage ...
    Series series Artificial Intelligence (R0)
    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... Read more

    Free

  • Neural Network Methods in Natural Language Processing

    by Yoav Goldberg, Graeme Hirst ...
    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Read more

    $67.99 CAD

  • Gmdh-methodology And Implementation In Matlab

    by 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 ... Read more

    $48.99 CAD

  • Probabilistic Machine Learning

    Advanced Topics

    by Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics ... Read more

    $155.99 CAD

  • Introduction To Machine Learning In Quantitative Finance, An

    by Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu ...
    Series series Advanced Textbooks In Mathematics
    In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... Read more

    $42.99 CAD

  • Neural Networks and Statistical Learning

    by Ke-Lin Du, M. N. S. Swamy ...
    Series series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... Read more

    $128.99 CAD