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Books > Computing & IT > Applications of computing > Databases > Data mining
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Hardcover)
Loot Price: R8,195
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Hardcover)
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In today's digital world, the huge amount of data being generated
is unstructured, messy, and chaotic in nature. Dealing with such
data, and attempting to unfold the meaningful information, can be a
challenging task. Feature engineering is a process to transform
such data into a suitable form that better assists with
interpretation and visualization. Through this method, the
transformed data is more transparent to the machine learning
models, which in turn causes better prediction and analysis of
results. Data science is crucial for the data scientist to assess
the trade-offs of their decisions regarding the effectiveness of
the machine learning model implemented. Investigating the demand in
this area today and in the future is a necessity. The Handbook of
Research on Automated Feature Engineering and Advanced Applications
in Data Science provides an in-depth analysis on both the
theoretical and the latest empirical research findings on how
features can be extracted and transformed from raw data. The
chapters will introduce feature engineering and the recent
concepts, methods, and applications with the use of various data
types, as well as examine the latest machine learning applications
on the data. While highlighting topics such as detection, tracking,
selection techniques, and prediction models using data science,
this book is ideally intended for research scholars, big data
scientists, project developers, data analysts, and computer
scientists along with practitioners, researchers, academicians, and
students interested in feature engineering and its impact on data.
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