Machine Learning: The Basics by Jung, Alexander

Machine Learning: The Basics

Regular price$64.99
Shipping calculated at checkout.

Introduction.- Components of ML.- The Landscape of ML.- Empirical Risk Minimization.- Gradient-Based Learning.- Model Validation and Selection.- Regularization.- Clustering.- Feature Learning.- Transparant and Explainable ML.

Author: Alexander Jung
Publisher: Springer
Published: 01/23/2023
Pages: 212
Binding Type: Paperback
Weight: 0.73lbs
Size: 9.21h x 6.14w x 0.49d
ISBN: 9789811681950

About the Author
Alexander Jung is Assistant Professor of Machine Learning at the Department of Computer Science, Aalto University where he leads the research group "Machine Learning for Big Data". His courses on machine learning, artificial intelligence, and convex optimization are among the most popular courses offered at Aalto University. He received a Best Student Paper Award at the premium signal processing conference IEEE ICASSP in 2011, an Amazon Web Services Machine Learning Award in 2018, and was elected as Teacher of the Year by the Department of Computer Science in 2018. He serves as an Associate Editor for the IEEE Signal Processing Letters.

We offer worldwide shipping.

All orders over $100
(before taxes) are eligible for FREE standard shipping within Canada and
the United States.

Estimated Delivery Times Outside the USA

Area / Country Standard International Shipping
(Not Trackable)
International Courier Trackable 
Asia 10-14 days 4-6 days
Australia 18-20 days 4-6 days
Canada 10-14 days 4-6 days
Caribbean 14-18 days 4-6 days
Europe 10-14 days 4-6 days
India 16-20 days 4-6 days
Latin America 10-14 days 4-6 days
Middle East 16-20 days 4-6 days

You may also like

Recently viewed