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CMU 15-112: Fundamentals of Programming and Computer Science. Class Notes: Graphics in Tkinter. Notes. We will only run graphics in Standard Python. These examples will not run in Brython. The standard Python documentation for tkinter can be hard to read. You can find our preferred documentation here (see chapter 8 on "The Canvas Widget").
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CS 15-122: Principles of Imperative Computation (Fall 2021) Home; About; Office Hours ] Please give us feedback about how 15-122 can be improved: If you need an answer, email the instructors instead (Your comments will be sent anonymously to the Class web page: https://cs.cmu.edu/~15122. Course syllabus. Calendar of Classes
Online courses: Machine Learning course (includes video lectures, online slides, 2011) Semisupervised learning (includes video lecture, online slides, 2006) Textbook: Machine Learning. Machine Learning, Tom Mitchell, McGraw Hill, 1997. New chapters (available for free download) Publications. Selected publications; Colleagues. Current and former students and ...
2;P 3, the output of the line side test is \LEFT" if the point P 3 is to the left of ray P 1!P 2, \RIGHT" if the point P 3 is to the right of ray P 1!P 2, and \ON" if it is on that ray. The algorithm is to construct vectors V 2 = P 2 1 and 3 3 1. Then take the cross product of V 2 and V 3 and look at its value compared to 0
The following slides are made available for instructors teaching from the textbook Machine Learning, Tom Mitchell, McGraw-Hill. Slides are available in both postscript, and in latex source. If you take the latex, be sure to also take the accomanying style files, postscript figures, etc. Ch 1. Introduction. postscript 3.8Meg), (gzipped postscript 317k) (latex source ) Ch 2. Concept ...
Machine Learning, Tom Mitchell, McGraw Hill, 1997. Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from datamining programs that discover general rules in large data sets, to information filtering systems that automatically learn users' interests. This book provides a single source introduction to the ...
CMU 15-112: Fundamentals of Programming and Computer Science Class Notes: Getting Started
Leila Wehbe's Homepage. I am an assistant professor in the Machine Learning Department and the Neuroscience Institute at Carnegie Mellon University. Before that, I was a postdoctoral researcher in the Helen Wills Neuroscience Institute at the University of California, Berkeley. I was working with Jack Gallant (here is the lab website ).
31 rows · Machine Learning 10-601, Spring 2015 Carnegie Mellon University Tom Mitchell and Maria-Florina Balcan : Home. People . Lectures . Recitations . Homeworks . Project. Previous material . This is a tentative schedule and is subject to change. Please note that Youtube takes some time to process videos before they become available.
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