Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. This handbook wi...Daugiau...
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorpor...Daugiau...
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is me...Daugiau...
This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techn...Daugiau...
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear re...Daugiau...
(Išleidimo metai: 28-Apr-2022, Hardback, Leidėjas: Cambridge University Press, ISBN-13: 9781316518885)
In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text provides deep and comprehensive coverage of the mathematical theory supportin...Daugiau...
This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopte...Daugiau...
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students...Daugiau...
(Išleidimo metai: 24-Mar-2022, Hardback, Leidėjas: Oxford University Press, ISBN-13: 9780192847263)
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with...Daugiau...
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with...Daugiau...
Master the math needed to excel in data science and machine learning. If you’re a data scientist who lacks a math or scientific background or a developer who wants to add data domains to your skillset, this is your book. Author Hadrien...Daugiau...
Serija: Wiley Series in Probability and Statistics
(Išleidimo metai: 11-Jun-2021, Hardback, Leidėjas: John Wiley & Sons Inc, ISBN-13: 9781119417385)
Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Dependent Data delivers a comprehensive presentation of the statistical and machine le...Daugiau...
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and...Daugiau...
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students...Daugiau...
(Išleidimo metai: 26-Mar-2021, Other digital carrier, Leidėjas: Wiley-Blackwell, ISBN-13: 9781119417408)
This book presents methods useful for analyzing and understanding large data sets that are dynamically dependent. The book will begin with examples of multivariate dependent data and tools for presenting descriptive statistics of such data. It then i...Daugiau...
(Išleidimo metai: 30-Jan-2021, Paperback / softback, Leidėjas: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611976403)
Identifying the underlying structure of a data set and extracting meaningful information is a key problem in data analysis, says Gillis, and he explains non-negative matrix factorization as one of the low-rank matrix approximation techniques for...Daugiau...
Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, co...Daugiau...
A new edition of the bestselling Pandas cookbook updated to pandas 1.x with new chapters on creating and testing, and exploratory data analysis. Recipes are written with modern pandas constructs. This book also covers EDA, tidying data, pivoting dat...Daugiau...
This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020.The 35 full papers presented together with 14 short papers papers were carefully...Daugiau...
