This book delivers practical knowledge to make the most of the opportunities offered by machine learning. Authors 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 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 and conclude by introducing runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning.
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Author: Dino Esposito and Francesco Esposito Publisher: Microsoft Press Date: March 2020 Pages: 400 ISBN: 978-0135565667 Print: 0135565669 Kindle: B084B189CB Audience: developers interested in machine learning Level: Intermediate/Advanced Category: Artificial Intelligence
- 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
- Use AI cloud services to build better real-world solutions faster
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