Amazon Digital Services LLC, 2016. — 53 p. — ASIN: B01D42UBP4More and more companies these days are learning that they …
This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled …
Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python About This BookExplore financial models used …
This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards …
This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series …
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the …
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the …
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the …
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Second Edition is a definitive guide to remote sensing systems that focuses …
Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques …
Reflecting current technological capacities and analytical trends, this book/CD-ROM package showcases Monte Carlo and nonparametric statistical methods for models, simulations, …
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …
Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey FeaturesLearn how to …
Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights Key Features …
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