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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning Using R (Paperback, 1st ed.)
Loot Price: R1,760
Discovery Miles 17 600
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Machine Learning Using R (Paperback, 1st ed.)
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Examine the latest technological advancements in building a
scalable machine learning model with Big Data using R. This book
shows you how to work with a machine learning algorithm and use it
to build a ML model from raw data. All practical demonstrations
will be explored in R, a powerful programming language and software
environment for statistical computing and graphics. The various
packages and methods available in R will be used to explain the
topics. For every machine learning algorithm covered in this book,
a 3-D approach of theory, case-study and practice will be given.
And where appropriate, the mathematics will be explained through
visualization in R. All the images are available in color and
hi-res as part of the code download. This new paradigm of teaching
machine learning will bring about a radical change in perception
for many of those who think this subject is difficult to learn.
Though theory sometimes looks difficult, especially when there is
heavy mathematics involved, the seamless flow from the theoretical
aspects to example-driven learning provided in this book makes it
easy for someone to connect the dots.. What You'll Learn Use the
model building process flow Apply theoretical aspects of machine
learning Review industry-based cae studies Understand ML algorithms
using R Build machine learning models using Apache Hadoop and Spark
Who This Book is For Data scientists, data science professionals
and researchers in academia who want to understand the nuances of
machine learning approaches/algorithms along with ways to see them
in practice using R. The book will also benefit the readers who
want to understand the technology behind implementing a scalable
machine learning model using Apache Hadoop, Hive, Pig and Spark.
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