Test Data Engineering, Shojima

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
Рейтинг:
Цена: 66520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
Рейтинг:
Цена: 76850.00 T
Наличие на складе: Ожидается поступление.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Currell Graham
Название: Scientific Data Analysis
ISBN: 0198712545 ISBN-13(EAN): 9780198712541
Издательство: Oxford Academ
Рейтинг:
Цена: 50680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on the author`s extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Автор: Leskovec Jure
Название: Mining of Massive Datasets
ISBN: 1108476341 ISBN-13(EAN): 9781108476348
Издательство: Cambridge Academ
Рейтинг:
Цена: 71810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

Автор: Schryvers Peter
Название: Bad Data: Why We Measure the Wrong Things and Often Miss the Metrics That Matter
ISBN: 1633885909 ISBN-13(EAN): 9781633885905
Издательство: NBN International
Рейтинг:
Цена: 26740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Highlights the pitfalls of data analysis and emphasizes the importance of using the appropriate metrics before making key decisions. Big data is often touted as the key to understanding almost every aspect of contemporary life. This critique of "information hubris" shows that even more important than data is finding the right metrics to evaluate it. The author, an expert in environmental design and city planning, examines the many ways in which we measure ourselves and our world. He dissects the metrics we apply to health, worker productivity, our children's education, the quality of our environment, the effectiveness of leaders, the dynamics of the economy, and the overall well-being of the planet. Among the areas where the wrong metrics have led to poor outcomes, he cites the fee-for-service model of health care, corporate cultures that emphasize time spent on the job while overlooking key productivity measures, overreliance on standardized testing in education to the detriment of authentic learning, and a blinkered focus on carbon emissions, which underestimates the impact of industrial damage to our natural world. He also examines various communities and systems that have achieved better outcomes by adjusting the ways in which they measure data. The best results are attained by those that have learned not only what to measure and how to measure it, but what it all means. By highlighting the pitfalls inherent in data analysis, this illuminating book reminds us that not everything that can be counted really counts.

Автор: Tim Roughgarden
Название: Beyond the Worst-Case Analysis of Algorithms
ISBN: 1108494315 ISBN-13(EAN): 9781108494311
Издательство: Cambridge Academ
Рейтинг:
Цена: 61250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.

Автор: Loftus, Stephen C.
Название: Basic Statistics With R
ISBN: 0128207884 ISBN-13(EAN): 9780128207888
Издательство: Elsevier Science
Рейтинг:
Цена: 65070.00 T
Наличие на складе: Невозможна поставка.
Описание: Help students with education recovery by resolving gaps in knowledge and understanding and addressing misconceptions in GCSE 9-1 Combined Science. This authoritative Teacher Resource Pack accompanies Secure Science for GCSE Workbook and digital support online and on mobile to support teachers through the intervention sessions.

Автор: Turner, Paul,
Название: Econometrics in practice /
ISBN: 1683926609 ISBN-13(EAN): 9781683926603
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 69300.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the econometric methods necessary for a practicing applied economist or data analyst. This requires both an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. Chapters 10 to 13 introduce a number of more advanced topics.

Автор: Brij B. Gupta, Quan Z. Sheng
Название: Machine Learning for Computer and Cyber Security
ISBN: 1138587303 ISBN-13(EAN): 9781138587304
Издательство: Taylor&Francis
Рейтинг:
Цена: 178640.00 T
Наличие на складе: Нет в наличии.
Описание: This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.

Автор: Kristi Jackson, Patricia Bazeley
Название: Qualitative Data Analysis with NVivo
ISBN: 1526449935 ISBN-13(EAN): 9781526449931
Издательство: Sage Publications
Рейтинг:
Цена: 116160.00 T
Наличие на складе: Нет в наличии.
Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Автор: Qilong Xue
Название: Data Analytics for Drilling Engineering
ISBN: 3030340341 ISBN-13(EAN): 9783030340346
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them.