Data analysis techniques for physical scientists, Pruneau, Claude A. (wayne State University, Michigan)
Автор: Aegerter Christof M. Название: Introductory Physics for Biological Scientists ISBN: 1108466508 ISBN-13(EAN): 9781108466509 Издательство: Cambridge Academ Рейтинг: Цена: 9979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to the fundamental physical principles related to the study of biological phenomena. Chapters are structured around biological examples, and the topics covered include waves, optics and mechanics. With quiz questions and a detailed appendix, it is perfect for students looking to develop their quantitative and analytical tools.
Jump-start your career as a data scientist--learn to develop datasets for exploration, analysis, and machine learning
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls.
You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data.
This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset."
Gain an understanding of relational database structure, query design, and SQL syntax
Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms
Review strategies and approaches so you can design analytical datasets
Practice your techniques with the provided database and SQL code
In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner's perspective, moving your data scientist career forward
Описание: This textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems, connecting programming tools and structures with real-world research and analysis.
Описание: Provides a methodology framework for countries to implement suitably harmonized sampling and survey monitoring schemes for recreational fisheries. The framework focuses on two components: representation and measurement.
Описание: Learn by doing with this user-friendly introduction to time series data analysis in R. This book explores the intricacies of managing and cleaning time series data of different sizes, scales and granularity, data preparation for analysis and visualization, and different approaches to classical and machine learning time series modeling and forecasting. A range of pedagogical features support students, including end-of-chapter exercises, problems, quizzes and case studies. The case studies are designed to stretch the learner, introducing larger data sets, enhanced data management skills, and R packages and functions appropriate for real-world data analysis. On top of providing commented R programs and data sets, the book's companion website offers extra case studies, lecture slides, videos and exercise solutions. Accessible to those with a basic background in statistics and probability, this is an ideal hands-on text for undergraduate and graduate students, as well as researchers in data-rich disciplines
Название: De-testing and de-grading schools ISBN: 1433122391 ISBN-13(EAN): 9781433122392 Издательство: Peter Lang Рейтинг: Цена: 6267.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume brings together a collection of essays that confronts the failure of testing and grading and then offers practical and detailed examinations of implementing at the macro and micro levels of education teaching and learning free of the weight of testing and grading.
Название: De-testing and de-grading schools ISBN: 1433122405 ISBN-13(EAN): 9781433122408 Издательство: Peter Lang Рейтинг: Цена: 21542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume brings together a collection of essays that confronts the failure of testing and grading and then offers practical and detailed examinations of implementing at the macro and micro levels of education teaching and learning free of the weight of testing and grading.
Описание: Pulsar timing is a promising method for detecting gravitational waves in the nano-Hertz band.In his prize winning Ph.D. Rutger van Haasteren has won the 2011 GWIC Thesis Prize of the Gravitational Wave International Community for his innovative work in various directions of the search for gravitational waves by pulsar timing.
Описание: Presents a cross-section of research in the field of computational earthquake physics. This book includes works on microphysics of rupture and fault constitutive laws, and dynamic rupture, wave propagation and ground motion. It covers earthquake cycles, crustal deformation, plate dynamics, and seismicity change and its physical interpretation.
Описание: Presents a cross-section of research in the field of computational earthquake physics. This book includes works on microphysics of rupture and fault constitutive laws, and dynamic rupture, wave propagation and strong ground motion. It covers earthquake cycles, crustal deformation, and seismicity change and its physical interpretation.
Описание: This book provides a comprehensive overview of the theory and practical applications of spectroscopic, mineralogical, and geochemical techniques used in planetary remote sensing. It describes state-of-the-art developments in analyzing the chemistry and mineralogy of the surfaces of planets, moons, asteroids, and comets.
Автор: Camporeale, Enrico Название: Machine Learning Techniques for Space Weather ISBN: 0128117885 ISBN-13(EAN): 9780128117880 Издательство: Elsevier Science Рейтинг: Цена: 18528.00 р. Наличие на складе: Поставка под заказ.
Описание: Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields.
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