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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Computer Vision with Maker Tech - Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning (Paperback, 1st ed.)
Loot Price: R1,245
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Computer Vision with Maker Tech - Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning (Paperback, 1st ed.)
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Harness the untapped potential of combining a decentralized
Internet of Things (IoT) with the ability to make predictions on
real-world fuzzy data. This book covers the theory behind machine
learning models and shows you how to program and assemble a
voice-controlled security. You'll learn the differences between
supervised and unsupervised learning and how the nuts-and-bolts of
a neural network actually work. You'll also learn to identify and
measure the metrics that tell how well your classifier is doing. An
overview of other types of machine learning techniques, such as
genetic algorithms, reinforcement learning, support vector
machines, and anomaly detectors will get you up and running with a
familiarity of basic machine learning concepts. Chapters focus on
the best practices to build models that can actually scale and are
flexible enough to be embedded in multiple applications and easily
reusable. With those concepts covered, you'll dive into the tools
for setting up a network to collect and process the data points to
be fed to our models by using some of the ubiquitous and cheap
pieces of hardware that make up today's home automation and IoT
industry, such as the RaspberryPi, Arduino, ESP8266, etc. Finally,
you'll put things together and work through a couple of practical
examples. You'll deploy models for detecting the presence of people
in your house, and anomaly detectors that inform you if some
sensors have measured something unusual. And you'll add a voice
assistant that uses your own model to recognize your voice. What
You'll Learn Develop a voice assistant to control your IoT devices
Implement Computer Vision to detect changes in an environment Go
beyond simple projects to also gain a grounding machine learning in
general See how IoT can become "smarter" with the inception of
machine learning techniques Build machine learning models using
TensorFlow and OpenCV Who This Book Is For Makers and amateur
programmers interested in taking simple IoT projects to the next
level using TensorFlow and machine learning. Also more advanced
programmers wanting an easy on ramp to machine learning concepts.
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