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Using the Pi Camera and a Raspberry Pi board, expand and replicate
interesting machine learning (ML) experiments. This book provides a
solid overview of ML and a myriad of underlying topics to further
explore. Non-technical discussions temper complex technical
explanations to make the hottest and most complex topic in the
hobbyist world of computing understandable and approachable.
Machine learning, also commonly referred to as deep learning (DL),
is currently being integrated into a multitude of commercial
products as well as widely being used in industrial, medical, and
military applications. It is hard to find any modern human
activity, which has not been "touched" by artificial intelligence
(AI) applications. Building on the concepts first presented in
Beginning Artificial Intelligence with the Raspberry Pi, you'll go
beyond simply understanding the concepts of AI into working with
real machine learning experiments and applying practical deep
learning concepts to experiments with the Pi board and computer
vision. What you learn with Machine Learning with the Raspberry Pi
can then be moved on to other platforms to go even further in the
world of AI and ML to better your hobbyist or commercial projects.
What You'll Learn Acquire a working knowledge of current ML Use the
Raspberry Pi to implement ML techniques and algorithms Apply AI and
ML tools and techniques to your own work projects and studies Who
This Book Is For Engineers and scientists but also experienced
makers and hobbyists. Motivated high school students who desire to
learn about ML can benefit from this material with determination.
Gain a gentle introduction to the world of Artificial Intelligence
(AI) using the Raspberry Pi as the computing platform. Most of the
major AI topics will be explored, including expert systems, machine
learning both shallow and deep, fuzzy logic control, and more! AI
in action will be demonstrated using the Python language on the
Raspberry Pi. The Prolog language will also be introduced and used
to demonstrate fundamental AI concepts. In addition, the Wolfram
language will be used as part of the deep machine learning
demonstrations. A series of projects will walk you through how to
implement AI concepts with the Raspberry Pi. Minimal expense is
needed for the projects as only a few sensors and actuators will be
required. Beginners and hobbyists can jump right in to creating AI
projects with the Raspberry PI using this book. What You'll Learn
What AI is and-as importantly-what it is not Inference and expert
systems Machine learning both shallow and deep Fuzzy logic and how
to apply to an actual control system When AI might be appropriate
to include in a system Constraints and limitations of the Raspberry
Pi AI implementation Who This Book Is For Hobbyists, makers,
engineers involved in designing autonomous systems and wanting to
gain an education in fundamental AI concepts, and non-technical
readers who want to understand what AI is and how it might affect
their lives.
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Nadine Gordimer
Paperback
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R398
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Discovery Miles 3 300
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