Statistical methods data science (84 Ergebnisse)

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Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

hardcover. Zustand: Good.

hardcover. Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Previous owners name.…

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Zustand: Very Good. Bayes and Empirical Bayes Methods for Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Hardcover. Zustand: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Zustand: VG+. Hardback in Very Good+ condition without dust jacket. Chapman & Hall/CRC Texts In Statistical Science. 6.75 X 1.1 X 9.75 inches. 506 pages. Quick shipping, excellent customer service. All books carefully packaged in boxes and ship with tracking information. Book is solid and straight. Text unmarked.…

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 170 pages. 9.25x7.52x0.36 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 400 pages. 9.45x6.69x9.61 inches. In Stock.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 170 pages. 7.50x0.44x9.25 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New.

Zustand: New.

Zustand: New.

Buch. Zustand: Neu. Neuware - Society is changing it is becoming more diverse and digital. Social media today plays a central role in human communication. With a changing society, the way social scientists analyze it is also evolving. In recent years, it has become significantly more difficult to encourage people to participate in surveys. Furthermore, digitization opens up data options that go beyond the survey method. Information published online represents valuable digital behavioral traces and provides social researchers with another important source of data alongside their scientific surveys, which in recent years have increasingly been conducted online.Computational methods have played a central role in social research from the very beginning. This applies today more than ever to data analysis, but now also to data collection. The increasing attention paid to machine learning methods in the statistical analysis of social science data represents a further remarkable development in the analysis of social science data.This textbook addresses these developments and familiarizes readers with both elementary and more advanced methods of data analysis. Fundamentals and techniques of data management, programming with R, statistical data analysis, descriptive and causal inference, as well as predictive modeling are covered in depth. All methods are exemplified using real data either from survey research, the social media platform Bluesky or a large digital newspaper archive. Thematically, these data are focused on current sociological topics, particularly those related to human happiness, energy transition and climate policy, AI, political attitudes and the rise in right-wing voting.Data science encompasses more than the algorithms required for data analysis and statistical learning. No less relevant are the rules by which social research and data analysis are conducted, data quality is ensured, and the results are validated. This textbook aims to provide this overview.…

Zustand: Fair. Volume 14. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780198536642.…

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - 'Data Science and Machine Learning: Mathematical and Statistical Methods' is a comprehensive guide that emphasizes the theoretical foundations of data science and machine learning. The book is ideal for students, researchers, and professionals who aim to build a strong mathematical understanding of core concepts in these rapidly growing fields. It bridges the gap between theory and practice by combining mathematical rigor with practical applications.The text delves deeply into essential topics such as probability theory, linear algebra, calculus, and statistical inference - all of which form the backbone of data science. These concepts are not just introduced but are thoroughly explored with clear explanations, proofs, and illustrative examples. A significant portion of the book is dedicated to regression analysis, classification methods, clustering techniques, and dimensionality reduction, which are fundamental tools in machine learning.One of the key strengths of the book is its focus on the mathematical intuition behind machine learning algorithms. Readers are guided through the derivation of algorithms like linear regression, logistic regression, support vector machines, principal component analysis, and k-means clustering. It also introduces more advanced topics such as Bayesian methods, kernel methods, and elements of deep learning from a mathematical viewpoint.…

Zustand: Good. Good; Hardcover; Withdrawn library copy with the standard library markings; Moderate wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; The binding is good with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 1.2 lbs; Blue and red covers with title in white lettering; 1994, Clarendon Press; 256 pages; "Practical Methods for Reliability Data Analysis (Oxford Statistical Science Series, 14)," by J. I. Ansell & M. J. Phillips. …