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A perfect guide to speed up the predicting power of machine
learning algorithms Key Features Design, discover, and create
dynamic, efficient features for your machine learning application
Understand your data in-depth and derive astonishing data insights
with the help of this Guide Grasp powerful feature-engineering
techniques and build machine learning systems Book
DescriptionFeature engineering is the most important step in
creating powerful machine learning systems. This book will take you
through the entire feature-engineering journey to make your machine
learning much more systematic and effective. You will start with
understanding your data-often the success of your ML models depends
on how you leverage different feature types, such as continuous,
categorical, and more, You will learn when to include a feature,
when to omit it, and why, all by understanding error analysis and
the acceptability of your models. You will learn to convert a
problem statement into useful new features. You will learn to
deliver features driven by business needs as well as mathematical
insights. You'll also learn how to use machine learning on your
machines, automatically learning amazing features for your data. By
the end of the book, you will become proficient in Feature
Selection, Feature Learning, and Feature Optimization. What you
will learn Identify and leverage different feature types Clean
features in data to improve predictive power Understand why and how
to perform feature selection, and model error analysis Leverage
domain knowledge to construct new features Deliver features based
on mathematical insights Use machine-learning algorithms to
construct features Master feature engineering and optimization
Harness feature engineering for real world applications through a
structured case study Who this book is forIf you are a data science
professional or a machine learning engineer looking to strengthen
your predictive analytics model, then this book is a perfect guide
for you. Some basic understanding of the machine learning concepts
and Python scripting would be enough to get started with this book.
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