num_pages: 400
description: Master machine learning concepts and develop real-world solutionsMachine 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 Microsofts 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 whats known about how humans learn and how intelligent software is built  Discover which problems machine learning can address  Understand the machine learning 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 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
language: English
title: Introducing Machine Learning
publisher: Microsoft Press