Tous les ebooks de la collection "Springer Series in the Data Sciences" - Springer

6 Livre(s)
Télécharger le livre : Statistical Inference and Machine Learning for Big Data
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Statistical Inference and Machine Learning for Big Data
Mayer Alvo
This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds...

Editeur : Springer
Parution : 2022-11-30
Collection : Springer Series in the Data Sciences
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147,69 €
Télécharger le livre : Statistics in the Public Interest
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Statistics in the Public Interest
Alicia L. Carriquiry , William F. Eddy , Judith M. Tanur
This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions,...

Editeur : Springer
Parution : 2022-04-22
Collection : Springer Series in the Data Sciences
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126,59 €
Télécharger le livre : Statistics with Julia
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Statistics with Julia
Hayden Klok , Yoni Nazarathy
This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior...

Editeur : Springer
Parution : 2021-09-04
Collection : Springer Series in the Data Sciences
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179,34 €
Télécharger le livre : First-order and Stochastic Optimization Methods for Machine Learning
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First-order and Stochastic Optimization Methods for Machine Learning
Guanghui Lan
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment...

Editeur : Springer
Parution : 2020-05-15
Collection : Springer Series in the Data Sciences
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137,14 €
Télécharger le livre : Cohesive Subgraph Computation over Large Sparse Graphs
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Cohesive Subgraph Computation over Large Sparse Graphs
Lijun Chang , Lu Qin
This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings...

Editeur : Springer
Parution : 2018-12-24
Collection : Springer Series in the Data Sciences
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52,74 €
Télécharger le livre : Lectures on the Nearest Neighbor Method
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Lectures on the Nearest Neighbor Method
Gérard Biau , Luc Devroye
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric...

Editeur : Springer
Parution : 2015-12-08
Collection : Springer Series in the Data Sciences
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137,14 €