Intro - Introduction to Machine Learning CS 590 and STAT...

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Introduction to Machine Learning CS 590 and STAT 598A, Spring 2010 Instructor: S.V . N. Vishwanathan (email: vishy ) http://www.stat.purdue.edu/~vishy/introml/introml.html January 12, 2010 S.V . N. Vishwanathan (Purdue University) Introduction to Machine Learning 1 / 17
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Class Details Classes: Tue/Thurs 9:00 am - 10:15 am LWSN B134 S.V . N. Vishwanathan (Purdue University) Introduction to Machine Learning 2 / 17
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Textbook Introduction to Machine Learning Alex Smola and S.V.N. Vishwanathan Yahoo Labs Santa Clara –and– Departments of Statistics and Computer Science Purdue University –and– College of Engineering and Computer Science Australian National University S.V . N. Vishwanathan (Purdue University) Introduction to Machine Learning 3 / 17
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Supplementary Textbook S.V . N. Vishwanathan (Purdue University) Introduction to Machine Learning 4 / 17
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Course Description This is an introductory course in machine learning You will learn about a number of basic machine learning algorithms such as k-means k-nearest neighbors Perceptron naive Bayes EM You will also some fairly modern topics such as Support Vector Machines Gaussian Processes Exponential Families Conditional Random Fields Graphical Models Structured Prediction Emphasis throughout the course will be on connections between various algorithms S.V . N. Vishwanathan (Purdue University) Introduction to Machine Learning 5 / 17
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Ideal Audience Well versed with fundamental statistical concepts such as Probability Random Variables Mean and Variance etc. Comfortable with statistical algorithms such as
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This note was uploaded on 02/23/2012 for the course STAT 598 taught by Professor Staff during the Spring '08 term at Purdue University-West Lafayette.

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Intro - Introduction to Machine Learning CS 590 and STAT...

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