Marco Scutari's Books

Bayesian Networks in R

with Applications in Systems Biology

By: Radhakrishnan Nagarajan,Marco Scutari,Sophie Lèbre

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Bayesian Networks in R

with Applications in Systems Biology

By: Radhakrishnan Nagarajan,Marco Scutari,Sophie Lèbre

Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book.

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Page Count

168

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461464463

ISBN 13

9781461464464

The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

By: Marco Scutari,Mauro Malvestio

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The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

By: Marco Scutari,Mauro Malvestio

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.

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Page Count

357

Publisher

CRC Press

Published Date

ISBN 10

1000852466

ISBN 13

9781000852462

Bayesian Networks

With Examples in R

By: Marco Scutari,Jean-Baptiste Denis

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Bayesian Networks

With Examples in R

By: Marco Scutari,Jean-Baptiste Denis

Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real world data analyses from a Science paper reproduced and explained in detail Examples span a variety of fields across social and life sciences Overview of available software in and outside R

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Page Count

275

Publisher

CRC Press

Published Date

ISBN 10

1000410382

ISBN 13

9781000410389

Performance-Based Medicine

Creating the High Performance Network to Optimize Managed Care Relationships

By: MA, CMC, William J. De Marco

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Performance-Based Medicine

Creating the High Performance Network to Optimize Managed Care Relationships

By: MA, CMC, William J. De Marco

With healthcare making the transition from volume-based reimbursement programs to value-based approaches, understanding performance measurement is vital to optimize payment and quality outcomes. Performance-Based Medicine: Creating the High Performance Network to Optimize Managed Care Relationships guides readers through the maze of definitions and

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Page Count

285

Publisher

CRC Press

Published Date

ISBN 10

1439812896

ISBN 13

9781439812891

Savoia-Marchetti S.79 Sparviero Bomber Units

By: Marco Mattioli

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Savoia-Marchetti S.79 Sparviero Bomber Units

By: Marco Mattioli

Initially developed by Savoia-Marchetti as a transport, the aircraft had evolved into a dedicated medium bomber by the time the S.79-I made its combat debut in the Spanish Civil War in 1936. During World War 2, it became Italy's most successful bomber, and the most produced, with around 1370 built between 1936 and early 1944. Although initially hampered by poor tactics, the S.79 bomber crews nonetheless scored sunk a number of Allied vessels, and provided a constant threat to Allied sailors in the Mediterranean in the early stages of the war. In East Africa and the Red Sea the Sparvieri were the most modern bombers in-theatre, proving a challenge to RAF and SAAF biplane fighters. Using specially commissioned full-colour artwork, first-hand accounts and historic photographs, this volume chronicles the history of the S.79's war in the Mediterranean, North African, Balkan, and East African theatres.

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Publisher

Bloomsbury Publishing

Published Date

ISBN 10

1472818857

ISBN 13

9781472818850

Time Series

Modeling, Computation, and Inference, Second Edition

By: Raquel Prado,Marco A. R. Ferreira,Mike West

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Time Series

Modeling, Computation, and Inference, Second Edition

By: Raquel Prado,Marco A. R. Ferreira,Mike West

• Expanded on aspects of core model theory and methodology. • Multiple new examples and exercises. • Detailed development of dynamic factor models. • Updated discussion and connections with recent and current research frontiers.

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Page Count

473

Publisher

CRC Press

Published Date

ISBN 10

1498747043

ISBN 13

9781498747042

Lourdes 2019

By: Paul De Marco

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Lourdes 2019

By: Paul De Marco

Bernadette, a poor uneducated girl from Lourdes claimed to have seen apparitions at a rock face in 1858. On 25th February, she said that the lady had asked her to scratch at the ground, and soon a spring appeared there and within days there were reports of healings at the grotto. After a lengthy investigation, the Church pronounced that the faithful were justified in believing that Our Lady had indeed appeared at Lourdes. The medical team that investigated the cures stated that the phenomena they'd observed were 'beyond the comprehension of the human mind' and when Bernadette's remains were exhumed 46 years after her death, her body was still undecayed, prompting the physician to declare that this was not a natural phenomenon. To date, 70 miracles have been verified and over 200 million people have visited the site. This book describes the life of Bernadette, but it also outlines the colourful events in the rich history of the time in which she lived, and it shows just how much synergy there is with Fatima.

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Page Count

170

Publisher

Lulu.com

Published Date

ISBN 10

0244442975

ISBN 13

9780244442972

Bayesian Networks

With Examples in R

By: Marco Scutari,Jean-Baptiste Denis

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Bayesian Networks

With Examples in R

By: Marco Scutari,Jean-Baptiste Denis

Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabilistic models from their estimation with data sets. The first three chapters explain the whole process of Bayesian network modeling, from structure learning to parameter learning to inference. These chapters cover discrete Bayesian, Gaussian Bayesian, and hybrid networks, including arbitrary random variables. The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R and other software packages appropriate for Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein signaling network paper and graphical modeling approaches for predicting the composition of different body parts. Suitable for graduate students and non-statisticians, this text provides an introductory overview of Bayesian networks. It gives readers a clear, practical understanding of the general approach and steps involved.

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Page Count

239

Publisher

CRC Press

Published Date

ISBN 10

148222559X

ISBN 13

9781482225594

The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

By: Marco Scutari,Mauro Malvestio

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The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

By: Marco Scutari,Mauro Malvestio

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Solve jigsaw puzzle

Age

Page Count

357

Publisher

CRC Press

Published Date

ISBN 10

1000852466

ISBN 13

9781000852462

Book's by Marco Scutari

Bayesian Networks in R

Bayesian Networks in R

The Pragmatic Programmer for Machine Learning

The Pragmatic Programmer for Machine Learning

Bayesian Networks

Bayesian Networks

Performance-Based Medicine

Performance-Based Medicine

Savoia-Marchetti S.79 Sparviero Bomber Units

Savoia-Marchetti S.79 Sparviero Bomber Units

Time Series

Time Series

Lourdes 2019

Lourdes 2019

Bayesian Networks

Bayesian Networks

The Pragmatic Programmer for Machine Learning

The Pragmatic Programmer for Machine Learning

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