• Title: A Course in Machine Learning
• Author(s) Hal Daume III
• Publisher: ciml.info (January 2017)
• Hardcover: N/A
• eBook: PDF Files and a Single PDF (227 Pages)
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

This 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. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.

• Hal Daume III is an associate professor in Computer Science and Language Science at University of Maryland.

• Amazon (Machine Learning Fundamentals: A Concise Introduction)

• Machine Learning
• Neural Networks and Deep Learning
• Artificial Intelligence
• Data Analysis and Data Mining
• Statistics, R Language and SAS Programming
• Operations Research (OR), Linear Programming, Optimization, and Approximation

• A Course in Machine Learning (Hal Daume III)
• PDF Format (whole book)
• The Mirror Site (1) - PDF

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