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Showing 1 - 12 of 12 results for “eric ma”
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  • Bayesian Analysis with Python

    Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ

    by Osvaldo Martin, Eric Ma, Austin Rochford ...
    Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.Book DescriptionThe second edition of ... Read more

    $37.79 USD or Free with Kobo Plus

  • Hong Kong, China

    Learning to belong to a nation

    by Gordon Mathews, Eric Ma, Tai-Lok Lui ...
    Series series Routledge Contemporary China Series
    The idea of ‘national identity’ is an ambiguous one for Hong Kong. Returned to the national embrace of China on 1 July 1997 after 150 years as a British colony, the concept of national identity and what it means to "belong to a nation" is a matter of great tension and contestation in Hong Kong.Written by three academic specialists on Hong Kong cultural identity, social history, and mass media, ... Read more

    $65.99 USD

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  • 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

    $52.99 USD

  • Bayesian Cognitive Modeling

    A Practical Course

    by Michael D. Lee, Eric-Jan Wagenmakers ...
    Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters ... Read more

    $50.89 USD

  • Introduction to Bayesian Econometrics

    by Edward Greenberg ...
    This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior ... Read more

    $50.09 USD

  • Machine Learning

    a Concise Introduction

    by Steven W. Knox ...
    Series Book 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 ... Read more

    $86.00 USD

  • Markov Models: An Introduction to Markov Models

    by Steven Taylor ...
    Markov ModelsThis book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling.Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrenc... ... Read more

    $3.99 USD or Free with Kobo Plus

  • Doing Bayesian Data Analysis

    A Tutorial Introduction with R

    by John Kruschke ...
    There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained ... Read more

    $80.99 USD

  • Probabilistic Machine Learning

    An Introduction

    by Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra ... Read more

    $77.99 USD

  • A First Course in Machine Learning

    by Simon Rogers, Mark Girolami ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."—Devdatt ... Read more

    $61.99 USD

  • A Course in Statistics with R

    by Prabhanjan N. Tattar, Suresh Ramaiah, B. G. Manjunath ...
    Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in ... Read more

    $94.00 USD

  • Probability and Statistics for Data Science

    Math + R + Data

    by Norman Matloff ...
    Series series Chapman & Hall/CRC Data Science Series
    Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously:* Real datasets are used extensively.* All data analysis is supported by R coding.* Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, ... Read more

    $89.99 USD