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Fifpac Fq-MBA Financial Intelligence for Parents and Children: Investing Book 4 (Paperback)
This book is part of the FQ-MBA series. FQ-MBA stands for the financial intelligence master of future and personal business administration. In this book you learn different types of risks in life and how to protect against them. You will learn about various types of insurances and the government enforced protections most importantly and how to make informed decision.
Elektronische Zahlungsmittel Im Online-Handel
Elektronische Zahlungsmittel Im Online-Handel...
Sword Art Online: Alicization - Part Two (DVD)
Sword Art Online: Alicization - Part Two
Sword Art Online Alicization Part 2 [BLU-RAY]
\ Sword Art Online Alicization Part 2 [BLU-RAY] continues the thrilling anime saga blending science fiction and fantasy. Directed by Manabu Ono this instalment features the voices of Yoshitsugu Matsuoka and Haruka Tomatsu. The storyline delves deeper into the virtual world of Underworld where protagonist Kirito battles to restore peace amidst escalating conflicts. Themes of friendship courage and the blurred lines between reality and virtuality are explored offering viewers a captivating narrative. With stunning animation and intense action sequences this series is a must-watch for fans of immersive storytelling and intricate character development.\
International Operations Research & Mana Data Science and Productivity Analytics Book 290 (Paperback)
This book includes a spectrum of concepts such as performance productivity operations research econometrics and data science for the practically and theoretically important areas of productivity analysis/data envelopment analysis and data science/big data . Data science is defined as the collection of scientific methods processes and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains containing mathematics and statistical methods operations research machine learning computer programming pattern recognition and data visualisation among others. Examples of data science techniques include linear and logistic regressions decision trees Naïve Bayesian classifier principal component analysis neural networks predictive modelling deep learning text analysis survival analysis and so on all of which allow using the data to make more intelligent decisions. On the other hand it is without a doubtthat nowadays the amount of data is exponentially increasing and analysing large data sets has become a key basis of competition and innovation underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists on the other hand will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.
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