Inicio > Matemáticas y ciencia > Matemáticas > Probabilidad y estadística > Introduction to Machine Learning and Bioinformatics
Introduction to Machine Learning and Bioinformatics

Introduction to Machine Learning and Bioinformatics

Sujay Datta / Sushmita Mitra / Theodore Perkins

119,93 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2019
Materia
Probabilidad y estadística
ISBN:
9780367387235
119,93 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
Sobre IBD

Examining the connections between these two increasingly intertwined areas, this text presents a unifying, thorough, and accessible introduction to the basic ideas and latest developments in machine learning and bioinformatics. It describes the major problems in bioinformatics and the concepts and algorithms of machine learning. The authors demonstrate the capabilities of key machine learning techniques, such as hidden Markov models and artificial neural networks, and apply state-of-the-art techniques to bioinformatics problems in structural biology, cancer treatment, and proteomics. They also include exercises at the end of some chapters and offer instructional materials on their website.

Artículos relacionados

  • ENGINEERING UNCERTAINTY AND RISK ANALYSIS
    Sergio E. Serrano
    An integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering u...
    Disponible

    134,56 €

  • UNDERSTANDING AND CALCULATING THE ODDS
    Catalin Barboianu
    Man’s daily life is full of decisional situations. Whether we have math skills or not, we frequently estimate and compare probabilities, sometimes without realizing it, especially when making decisions. But probabilities are not just simple numbers attached objectively or subjectively to events, as they perhaps look, and their calculus and usage is highly predisposed to qualita...
    Disponible

    31,61 €

  • Random Graphs and Complex Networks
    Remco van der Hofstad
    ...
  • Introduction to Malliavin Calculus
    David Nualart / Eulalia Nualart
    ...
    Disponible

    60,35 €

  • Probability, Markov Chains, Queues, and Simulation
    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 process...
  • SPSS for you
    A. Rajathi / P. Chandran
    In an era where statistical analysis underpins breakthroughs across all fields, the importance of mastering statistical software cannot be overstated. 'SPSS for you' emerges as a pivotal resource for anyone keen to navigate the complexities of statistical analysis with ease and precision. Drawing from over 25 years of teaching experience, practical guidance in statistical analy...
    Disponible

    29,30 €

Otros libros del autor

  • Introduction to Machine Learning and Bioinformatics
    Sujay Datta / Sushmita Mitra / Theodore Perkins
    Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical...