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Business Statistics with Solutions in R - Mustapha Abiodun Akinkunmi - Bog - De Gruyter - Booktok.dk

Business Statistics with Solutions in R - Mustapha Abiodun Akinkunmi - Bog - De Gruyter - Booktok.dk

Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.

DKK 367.00
1

Machine Learning under Resource Constraints - Applications - - Bog - De Gruyter - Booktok.dk

Machine Learning under Resource Constraints - Applications - - Bog - De Gruyter - Booktok.dk

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 3 describes how the resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples. In the areas of health and medicine, it is demonstrated how machine learning can improve risk modelling, diagnosis, and treatment selection for diseases. Machine learning supported quality control during the manufacturing process in a factory allows to reduce material and energy cost and save testing times is shown by the diverse real-time applications in electronics and steel production as well as milling. Additional application examples show, how machine-learning can make traffic, logistics and smart cities more effi cient and sustainable. Finally, mobile communications can benefi t substantially from machine learning, for example by uncovering hidden characteristics of the wireless channel.

DKK 1420.00
1

Pandemics Among Nations - Iskren Ivanov - Bog - De Gruyter - Booktok.dk

Pandemics Among Nations - Iskren Ivanov - Bog - De Gruyter - Booktok.dk

The end of the Cold War marks the geopolitical peak of America''s global primacy. The centerpiece of U.S. Foreign Policy in the pre-pandemic world order was the assumption that promoting human rights and democracy will secure peace. However, the Coronavirus Pandemic challenged the U.S.-dominated globalized order. The international system in the post-pandemic age embodies a paradox of the American primacy and the Chinese struggle for global domination. Pandemics Among Nations: U.S. Foreign Policy and the New Grand Chessboard addresses the geopolitical puzzle of the post-pandemic world order and seeks to explain how COVID 19 has remastered Brzezinski''s theory of the Grand Chessboard. In this book, Ivanov offers a two-level approach, emphasizing the consequences of the Pandemic and their impact on U.S. Foreign Policy. He also argues that if the United States wants to maintain its leadership in the post-pandemic world order, Washington should develop a new concept of smart power to deter the Chinese Art of War. The foremost goal of Pandemics Among Nations is to analyze how America could overcome the geopolitical effects of the Pandemic. The author examines three possible scenarios for the future role of the United States on the post-pandemic Chessboard. The analysis rests on the testing of a series of research hypotheses across a structured comparison of all elements of the remastered Grand Chessboard, not just on isolated case studies such as China''s rise, Russian New Imperialism or European ambitions for a mutual defense.

DKK 856.00
1