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Introducing Machine Learning (Paperback)
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Introducing Machine Learning (Paperback)
Series: Developer Reference
Expected to ship within 5 - 10 working days
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Master machine learning concepts and develop real-world solutions
Machine learning offers immense opportunities, and Introducing
Machine Learning delivers practical knowledge to make the most of
them. Dino and Francesco Esposito start with a quick overview of
the foundations of artificial intelligence and the basic steps of
any machine learning project. Next, they introduce Microsoft's
powerful ML.NET library, including capabilities for data
processing, training, and evaluation. They present families of
algorithms that can be trained to solve real-life problems, as well
as deep learning techniques utilizing neural networks. The authors
conclude by introducing valuable runtime services available through
the Azure cloud platform and consider the long-term business vision
for machine learning. * 14-time Microsoft MVP Dino Esposito and
Francesco Esposito help you * Explore what's known about how humans
learn and how intelligent software is built * Discover which
problems machine learning can address * Understand the machine
learning pipeline: the steps leading to a deliverable model * Use
AutoML to automatically select the best pipeline for any problem
and dataset * Master ML.NET, implement its pipeline, and apply its
tasks and algorithms * Explore the mathematical foundations of
machine learning * Make predictions, improve decision-making, and
apply probabilistic methods * Group data via classification and
clustering * Learn the fundamentals of deep learning, including
neural network design * Leverage AI cloud services to build better
real-world solutions faster About This Book * For professionals who
want to build machine learning applications: both developers who
need data science skills and data scientists who need relevant
programming skills * Includes examples of machine learning coding
scenarios built using the ML.NET library
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