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.
- 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
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
