Introducing Machine Learning

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 utilising 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.SamplesPreview sample pages from Introducing 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