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https://www.cs.colostate.edu/~anderson/cs440/
2026-04-06T04:14:06+00:00CS440: Introduction to Artificial Intelligence
https://www.cs.colostate.edu/~anderson/cs440/
https://www.cs.colostate.edu/~anderson/cs440/lib/tpl/dokuwiki/images/favicon.icotext/html2016-01-11T12:38:22+00:00Anonymous (anonymous@undisclosed.example.com)announcements
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=announcements&rev=1452541102&do=diff
Announcements
Welcome to CS480: Introduction to Machine Learning
Take this course to learn about the very exciting field of machine learning! Companies around the world are using machine learning to analyze all kinds of data. Deep Learning is a machine learning framework that you have, or will, read about in the popular press.text/html2017-01-30T08:31:54+00:00Anonymous (anonymous@undisclosed.example.com)olderschedule
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=olderschedule&rev=1485790314&do=diff
Schedule
Announcements
January 25: For Assignment 1 you must standardize the data in X. An update has been added to the assignment description.
January 20: Assignment 1 (A1) is now due Monday, January 30th, at 10 PM.
Lecture videos are available at thistext/html2020-07-21T17:17:53+00:00Anonymous (anonymous@undisclosed.example.com)oldschedule
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=oldschedule&rev=1595373473&do=diff
Schedule
Announcements
Lecture videos are available from the Canvas site (in the menu on the left) by selecting Echo 360.
To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file:
export PATH=/usr/local/anaconda/bin:$PATHtext/html2017-12-19T16:32:51+00:00Anonymous (anonymous@undisclosed.example.com)projects
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=projects&rev=1513726371&do=diff
* axcellscott-1-Visualizing Maze Exploration Paper
* becwarryan-1-project
* bellendiradam-1-Bellendir-Project-Report
* besendave-1-Project Report
* bieberaustin-1-Bieber-Final-Project
* blaisusmiles-1-Blaisus-Final
* brownwalker-1-Report
* clarkconnor-1-clarkconnor_96056_8244992_Clark-Final-Project-1
* coldrenethan-1-Final Project
* craddockcorey-1-Pacman Automated
* debakkerevan-1-FinalProject_DeBakker_Tapparo
* dengchenda-1-Deng-Report
* depoysterjames-1-depoysterjames…text/html2017-10-05T10:54:55+00:00Anonymous (anonymous@undisclosed.example.com)reinflearn2
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=reinflearn2&rev=1507222495&do=diff
<jsm>
\newcommand{\Rv}{\mathbf{R}}
\newcommand{\rv}{\mathbf{r}}
\newcommand{\Qv}{\mathbf{Q}}
\newcommand{\Av}{\mathbf{A}}
\newcommand{\Aiv}{\mathbf{Ai}}
\newcommand{\av}{\mathbf{a}}
\newcommand{\xv}{\mathbf{x}}
\newcommand{\Xv}{\mathbf{X}}
\newcommand{\yv}{\mathbf{y}}
\newcommand{\Yv}{\mathbf{Y}}
\newcommand{\zv}{\mathbf{z}}
\newcommand{\av}{\mathbf{a}}
\newcommand{\Wv}{\mathbf{W}}
\newcommand{\wv}{\mathbf{w}}
\newcommand{\betav}{\mathbf{\beta}}
\newcommand{\gv}{\mathbf{g}}
\newcommand{\Hv}{\mat…text/html2024-01-08T18:40:26+00:00Anonymous (anonymous@undisclosed.example.com)schedule
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=schedule&rev=1704764426&do=diff
Schedule
Announcements
Links to live MS Teams events:
* Lectures: Tuesdays/Thursdays, 2:00 - 3:15 PM
* Office hours: Apoorv Mondays, 2:00 - 4:00 PM
* Office hours: Chaitanya Fridays, 2:00 - 4:00 PM
* Office hours: Chuck Wednesdays, 9:00 - 10:00 AM
Recordings of lecture and office hour videos are available from the Home page of our
Canvas site.
To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file:text/html2020-08-24T13:59:48+00:00Anonymous (anonymous@undisclosed.example.com)sidebar
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=sidebar&rev=1598299188&do=diff
* Overview
* Schedule
* Canvas
* Questions, Answer
* Useful_Links
Chuck Anderson
[ http://www.colostate.edu]text/html2024-01-08T18:40:26+00:00Anonymous (anonymous@undisclosed.example.com)start
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=start&rev=1704764426&do=diff
Schedule
Announcements
Links to live MS Teams events:
* Lectures: Tuesdays/Thursdays, 2:00 - 3:15 PM
* Office hours: Apoorv Mondays, 2:00 - 4:00 PM
* Office hours: Chaitanya Fridays, 2:00 - 4:00 PM
* Office hours: Chuck Wednesdays, 9:00 - 10:00 AM
Recordings of lecture and office hour videos are available from the Home page of our
Canvas site.
To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file:text/html2020-12-06T10:37:06+00:00Anonymous (anonymous@undisclosed.example.com)syllabus
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=syllabus&rev=1607276226&do=diff
Overview
Description
The course objectives are to learn the fundamental theories,
algorithms and concepts in Artificial
Intelligence. Class discussions will range from algorithm
fundamentals to philosophical issues in Artificial
Intelligence. Programs implementing problem-solving search, logical
reasoning. and machine learning techniques will be studied and
modified. Other topics will be covered as time permits. Students must
complete a number of programming assignments and a
semester projec…text/html2018-08-27T13:10:25+00:00Anonymous (anonymous@undisclosed.example.com)useful_links
https://www.cs.colostate.edu/~anderson/cs440/doku.php?id=useful_links&rev=1535397025&do=diff
Useful Links
This page will contain links to helpful on-line material.
Recent News
AI-Alerts
The State of Artificial Intelligence in 15 Visuals
Ipython Notebook (Jupyter) google group
Python
Scipy Lecture Notes
Numpy Cheat Sheet
PyCharm
Emacs - the Best Python Editor?
Tips on how to make pretty matplotlib graphs
Python Debugging
Debugging in ipython
Debugging in Spyder
Debugging in Pycharm
Jupyter Notebook
Jupyter Notebook Tips and Tricks
Reinforcement Learning
OpenAI Gym