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1 - 12 de 12 resultados para “paul d mcnicholas”
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  • Data Science and Optimization

    de Sanjeena Dang, Antoine Deza, Swati Gupta, Paul D. McNicholas, Masashi Sugiyama ...
    Series series Mathematics and Statistics (R0)
    Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the ... Leer más

    $197.99 USD

  • Data Science with Julia

    de Paul D. McNicholas, Peter Tait ...
    "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, FranceJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, ... Leer más

    $84.99 USD

  • Mixture Model-Based Classification

    de Paul D. McNicholas ...
    "This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the ... Leer más

    $72.99 USD

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  • Algorithms for Optimization

    de Mykel J. Kochenderfer, Tim A. Wheeler ...
    A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will ... Leer más

    $58.99 USD

  • Gmdh-methodology And Implementation In Matlab

    de 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 ... Leer más

    $38.99 USD

  • Deep Learning Fundamentals in Python

    Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

    de Lazy Programmer ...
    Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a ... Leer más

    $9.53 USD

  • Introduction to Online Convex Optimization, second edition

    de Elad Hazan ...
    Series series Adaptive Computation and Machine Learning series
    New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization ... Leer más

    $36.99 USD

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    de Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Leer más

    $55.99 USD

  • Probability and Statistics with Reliability, Queuing, and Computer Science Applications

    de Kishor S. Trivedi ...
    An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applicationsSecond edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical ... Leer más

    $115.00 USD

  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    de Sebastian Raschka ...
    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... Leer más

    $37.99 USD o gratis con Kobo Plus

  • Simulation-Based Algorithms for Markov Decision Processes

    de Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus ...
    Series series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Leer más

    $89.09 USD

  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    de Sebastian Raschka, Vahid Mirjalili, Jared Huffman, Ryan Sun ...
    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the ... Leer más

    $34.99 USD o gratis con Kobo Plus