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Statistics for Machine Learning (Paperback)
Loot Price: R1,439
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Statistics for Machine Learning (Paperback)
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Build Machine Learning models with a sound statistical
understanding. About This Book * Learn about the statistics behind
powerful predictive models with p-value, ANOVA, and F- statistics.
* Implement statistical computations programmatically for
supervised and unsupervised learning through K-means clustering. *
Master the statistical aspect of Machine Learning with the help of
this example-rich guide to R and Python. Who This Book Is For This
book is intended for developers with little to no background in
statistics, who want to implement Machine Learning in their
systems. Some programming knowledge in R or Python will be useful.
What You Will Learn * Understand the Statistical and Machine
Learning fundamentals necessary to build models * Understand the
major differences and parallels between the statistical way and the
Machine Learning way to solve problems * Learn how to prepare data
and feed models by using the appropriate Machine Learning
algorithms from the more-than-adequate R and Python packages *
Analyze the results and tune the model appropriately to your own
predictive goals * Understand the concepts of required statistics
for Machine Learning * Introduce yourself to necessary fundamentals
required for building supervised & unsupervised deep learning
models * Learn reinforcement learning and its application in the
field of artificial intelligence domain In Detail Complex
statistics in Machine Learning worry a lot of developers. Knowing
statistics helps you build strong Machine Learning models that are
optimized for a given problem statement. This book will teach you
all it takes to perform complex statistical computations required
for Machine Learning. You will gain information on statistics
behind supervised learning, unsupervised learning, reinforcement
learning, and more. Understand the real-world examples that discuss
the statistical side of Machine Learning and familiarize yourself
with it. You will also design programs for performing tasks such as
model, parameter fitting, regression, classification, density
collection, and more. By the end of the book, you will have
mastered the required statistics for Machine Learning and will be
able to apply your new skills to any sort of industry problem.
Style and approach This practical, step-by-step guide will give you
an understanding of the Statistical and Machine Learning
fundamentals you'll need to build models.
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