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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. <em>14-time Microsoft MVP Dino Esposito and Francesco Esposito help you </em>Explore what`s known about how humans learn and how intelligent software is built <em>Discover which problems machine learning can address </em>Understand the machine learning pipeline: the steps leading to a deliverable model <em>Use AutoML to automatically select the best pipeline for any problem and dataset </em>Master ML.NET, implement its pipeline, and apply its tasks and algorithms <em>Explore the mathematical foundations of machine learning </em>Make predictions, improve decision-making, and apply probabilistic methods <em>Group data via classification and clustering </em>Learn the fundamentals of deep learning, including neural network design <em>Leverage AI cloud services to build better real-world solutions faster About This Book </em>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