Logo

A Course in Machine Learning

Small book cover: A Course in Machine Learning

A Course in Machine Learning
by

Publisher: ciml.info
Number of pages: 189

Description:
CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone.

Home page url

Download or read it online for free here:
Download link
(2.9MB, PDF)

Similar books

Book cover: Introduction to Machine LearningIntroduction to Machine Learning
by - Cambridge University Press
Over the past two decades Machine Learning has become one of the mainstays of information technology and a rather central part of our life. Smart data analysis will become even more pervasive as a necessary ingredient for technological progress.
(12039 views)
Book cover: Statistical Foundations of Machine LearningStatistical Foundations of Machine Learning
by
This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. This manuscript aims to find a good balance between theory and practice.
(11048 views)
Book cover: Machine Learning for DesignersMachine Learning for Designers
by - O'Reilly Media
This book introduces you to contemporary machine learning systems and helps you integrate machine-learning capabilities into your user-facing designs. Patrick Hebron explains how machine-learning applications can affect the way you design websites.
(9193 views)
Book cover: Learning Deep Architectures for AILearning Deep Architectures for AI
by - Now Publishers
This book discusses the principles of learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models.
(10254 views)