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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Designing Machine Learning Systems with Python (Paperback)
Loot Price: R1,146
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Designing Machine Learning Systems with Python (Paperback)
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Design efficient machine learning systems that give you more
accurate results About This Book * Gain an understanding of the
machine learning design process * Optimize machine learning systems
for improved accuracy * Understand common programming tools and
techniques for machine learning * Develop techniques and strategies
for dealing with large amounts of data from a variety of sources *
Build models to solve unique tasks Who This Book Is For This book
is for data scientists, scientists, or just the curious. To get the
most out of this book, you will need to know some linear algebra
and some Python, and have a basic knowledge of machine learning
concepts. What You Will Learn * Gain an understanding of the
machine learning design process * Optimize the error function of
your machine learning system * Understand the common programming
patterns used in machine learning * Discover optimizing techniques
that will help you get the most from your data * Find out how to
design models uniquely suited to your task In Detail Machine
learning is one of the fastest growing trends in modern computing.
It has applications in a wide range of fields, including economics,
the natural sciences, web development, and business modeling. In
order to harness the power of these systems, it is essential that
the practitioner develops a solid understanding of the underlying
design principles. There are many reasons why machine learning
models may not give accurate results. By looking at these systems
from a design perspective, we gain a deeper understanding of the
underlying algorithms and the optimisational methods that are
available. This book will give you a solid foundation in the
machine learning design process, and enable you to build customised
machine learning models to solve unique problems. You may already
know about, or have worked with, some of the off-the-shelf machine
learning models for solving common problems such as spam detection
or movie classification, but to begin solving more complex
problems, it is important to adapt these models to your own
specific needs. This book will give you this understanding and
more. Style and approach This easy-to-follow, step-by-step guide
covers the most important machine learning models and techniques
from a design perspective.
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