Primer for Data Analytics and Graduate Study in Statistics (Wolfe Douglas)(Pevná vazba)

Primer for Data Analytics and Graduate Study in Statistics (Wolfe Douglas)(Pevná vazba)

- Introduction. - Basic Probability. - Random Variables and Probability Distributions. - General Properties of Random Variables. - Joint Probability Distributions for Two Random Variables. - Probability Distribution of a Function of a Single Random Variable. - Sampling Distributions. - Asymptotic

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python (Shmueli Galit)(Pevná vazba)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and

Data Science and Analytics (Kumari Sneha)(Pevná vazba)

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big

A Course in Mathematical Statistics and Large Sample Theory (Bhattacharya Rabi)(Pevná vazba)

This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous

Causal Inference in Statistics: A Primer (Pearl Judea)(Paperback)

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as 'Does this treatment harm or help patients?' But though hundreds of introductory texts are

Challenges and Applications of Data Analytics in Social Perspectives (Sathiyamoorthi V.)(Pevná vazba)

Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge

Big Data on Campus: Data Analytics and Decision Making in Higher Education (Webber Karen L.)(Pevná vazba)

Ecommerce Analytics: Analyze and Improve the Impact of Your Digital Strategy (Phillips Judah)(Pevná vazba)

Today's Complete, Focused, Up-to-Date Guide to Analytics for Ecommerce Profit from analytics throughout the entire customer experience and lifecycle Make the most of all the fast-changing data sources now available to you For all ecommerce executives, strategists, entrepreneurs, marketers,

Fraud Analytics (Spann Delena D.)(Pevná vazba)

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable

A Primer in Econometric Theory (Stachurski John)(Pevná vazba)

A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming.This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability

Management Decision-Making, Big Data and Analytics (Gressel Simone)(Pevná vazba)

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies,

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics (Densmore James)(Paperback)

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in

Cultural Analytics (Manovich Lev)(Pevná vazba)

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on

Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers (Alamar Benjamin)(Pevná vazba)

Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player

Data Analytics for Engineering and Construction Project Risk Management (Damnjanovic Ivan)(Pevná vazba)

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners

International Marketing Data and Statistics (Euromonitor International)(Pevná vazba)

International Marketing Data and Statistics 2011 is one of Euromonitor's best-selling reference books. Now in its 35th edition the book has hard to find demographic, economic and marketing statistics for 160 non-European

Statistics for Health Data Science: An Organic Approach (Etzioni Ruth)(Pevná vazba)

Big Data and Visual Analytics (Suh Sang C.)(Pevná vazba)

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big

From Big Data to Big Profits: Success with Data and Analytics (Walker Russell)(Pevná vazba)

Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential

Fundamentals of Analytical Chemistry (Skoog Douglas A.)(Pevná vazba)

Discover the principles and practices behind analytical chemistry as you study its applications in medicine, industry and the sciences with Skoog/West/Holler/Crouch's FUNDAMENTALS OF ANALYTICAL CHEMISTRY, 10th Edition. This award-winning author team presents the latest developments in analytical

Mergers, Acquisitions, and Corporate Restructurings (Gaughan Patrick A.)(Pevná vazba)

The essential M&A primer, updated with the latest research and statistics Mergers, Acquisitions, and Corporate Restructurings provides a comprehensive look at the field's growth and development, and places M&As in realistic context amidst changing trends, legislation, and global perspectives

Atmosphere, Ocean, and Climate Dynamics: An Introductory Text (Marshall John)(Pevná vazba)

For advanced undergraduate and beginning graduate students in atmospheric, oceanic, and climate science, Atmosphere, Ocean and Climate Dynamics is an introductory textbook on the circulations of the atmosphere and ocean and their interaction, with an emphasis on global scales. It will give students

The Data Science Handbook (Cady Field)(Pevná vazba)

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In

Real Analysis (Loeb Peter a.)(Pevná vazba)

This textbook is designed for a year-long course in real analysis taken by beginning graduate and advanced undergraduate students in mathematics and other areas such as statistics, engineering, and economics. Written by one of the leading scholars in the field, it elegantly explores the core