Introducing Machine Learning

Book Description

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 . Next, they introduce ’s powerful ML.NET library, including capabilities for data processing, , and evaluation. They present families of 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 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 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

Book Details