Skip to main content
Search Button
Librairie Kobo Belgique Cartes cadeau Aide
Kobo Rakuten
Liste d'envies

Panier

Vous profitez des avantages réservés aux VIP !

Article(s) non disponible(s) à la vente
Veuillez vérifier votre panier. Vous pouvez supprimer le ou les articles qui ne sont pas disponibles maintenant ou nous les supprimerons automatiquement au moment du règlement de la commande.
articlesarticle
articlesarticle

Recommandé pour vous

Loading...


Software Collections de eBooks

1 - 12 sur 12 résultats
Skip side bar filters

  • Overview Of Bayesian Approach To Statistical Methods

    Software

    par Vinaitheerthan Renganathan ...
    Collection series Software
    Statistical methods are being used in different fields such as Business & Economics, Engineering, Clinical & Pharmaceutical research including the emerging fields such as Machine Learning and Artificial Intelligence. Statistical methods based on the traditional frequentist approach are currently being use in these fields. With the emergence of high end computing nowadays Bayesian approach to ... En savoir plus

    9,49 € ou Gratuit avec Kobo Plus

Les lecteurs de ce livre ont aussi aimé

  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    par Stefan Jansen ...
    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... En savoir plus

    37,09 € ou Gratuit avec Kobo Plus

  • Bayesian Analysis with Python

    Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ

    par 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 ... En savoir plus

    32,85 € ou Gratuit avec Kobo Plus

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    par Bradley Efron, Trevor Hastie ...
    Collection Livre 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... En savoir plus

    74,23 €

  • Python Machine Learning By Example

    The easiest way to get into machine learning

    par Yuxi (Hayden) Liu, Ivan Idris ...
    Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... En savoir plus

    37,09 € ou Gratuit avec Kobo Plus

  • Data Analysis with R

    Click here to enter text.

    par Tony Fischetti ...
    Load, wrangle, and analyze your data using the world\\'s most powerful statistical programming languageKey Features\[\*\]Load, manipulate and analyze data from different sources\[\*\]Gain a deeper understanding of fundamentals of applied statistics\[\*\]A practical guide to performing data analysis in practiceBook DescriptionFrequently the tool of choice for academics, R has spread deep into the ... En savoir plus

    41,33 € ou Gratuit avec Kobo Plus

  • Introduction to Bayesian Econometrics

    par 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 ... En savoir plus

    48,25 €

  • Hands-On Machine Learning for Algorithmic Trading

    Design and implement investment strategies based on smart algorithms that learn from data using Python

    par Stefan Jansen ...
    Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series ... En savoir plus

    44,51 € ou Gratuit avec Kobo Plus

  • Markov Models: An Introduction to Markov Models

    par 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... ... En savoir plus

    3,99 € ou Gratuit avec Kobo Plus

  • Introduction to Probability Models

    par Sheldon M. Ross ...
    Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous ... En savoir plus

    70,95 €

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    par Walter Zucchini, Iain L. MacDonald, Roland Langrock ...
    Collection series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... En savoir plus

    67,16 €

  • Negative Binomial Regression

    par Joseph M. Hilbe ...
    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... En savoir plus

    110,10 €