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As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming
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Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.
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Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.
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This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical... Læs mere
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This book aims to provide the readers with methodologies, and reviews trends and issues in forecasting in production planning. Furthermore, it presents machine learning methods used in time series forecasting.
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This book is the first study to provide a comprehensive picture of the reality and structure of dollarization in Cambodia,... Læs mere
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This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer... Læs mere
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This book is a blend of practical knowledge, inspiring narratives, and interactive elements. It strikes a balance between providing a solid foundation in data storytelling principles and offering actionable steps for readers to implement in their own work.
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This book is a blend of practical knowledge, inspiring narratives, and interactive elements. It strikes a balance between providing a solid foundation in data storytelling principles and offering actionable steps for readers to implement in their own work.
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This introductory text covers the foundational concepts and statistical applications of quantitative... Læs mere
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This introductory text covers the foundational concepts and statistical applications of quantitative... Læs mere
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Decision Making Optimization Models for Business Partnerships extends non-parametric Data Envelopment Analysis (DEA) and parametric... Læs mere